65 Product Classification Jobs nearby Mysore

Please find below Job Description for Comments & Exceptions (C&E). JD:ITO PROPOSAL ENGINEER C&E  As a ITO Proposal Engineer, you will be responsible for providing the Comments & Exceptions to the customer specifications as per the company standards and also have the responsibility to check with applicable project engineering teams and try to meet the customer requirement with any additional commercial impact.  Roles and Responsibilities  1.Knowledge of Oil & Gas products: Gas Turbines, Steam Turbine, Centrifugal Compressors, and its auxiliary systems. 2.Have to review the customer specification as per the company project scope of supply and have to provide the comments / exceptions specifications. 3.Have to connect with different project engineering team / design team for any clarification on additional requirement by the customer.  Comments / Exceptions : Have to go through the customer specification, Things which are not inline with company standards we have to provide the comments. If the requirement is not inline to our scope of supply have to take exceptions on that requirement.  Qualifications / Requirements  Engineering Degree from an accredited University or College Knowledge of international std for Oil & Gas market Fluent English Knowledge Microsoft Office advanced user, CAD basics, data management and classification  Desired Characteristics Good interpersonal and leadership skills Strong communication skills and ability to interact with different stakeholders, working autonomously. Clear thinking attitude with entrepreneurial mindset. Resilience and flexibility to work on priority, understanding business needs Strong ability to influence others and interact with a multi-cultural team in a matrix organization Effective team building and problem-solving abilities Ability to coordinate more projects simultaneously Presentation skills with strong oral and written communication skills. Knowledge of Oil & Gas products: Gas Turbines, Centrifugal Compressors and related production processes Knowledge of turbo-machinery plant integration, maintenance procedure and site installation.  

We are looking for a Duty Manager to oversee facilities, security and customer service. Duty Manager responsibilities include overseeing daily operations, ensuring employee productivity, monitoring efficiency of all processes and creating a positive work environment for employees. You will also meet regularly with upper management to stay up-to-date with organizational changes, issues and improvements. Ultimately, you will ensure all operations flow smoothly and help us meet our company goals. Responsibilities Keep track of monthly, quarterly and yearly goals Work with management to assess and improve processes and policies Monitor and report on revenue and cash flow Uphold and enforce company policies Train new hires Address employee complaints or performance issues as needed Check in with employees regularly to determine satisfaction Schedule shifts Help management create the departments budget Address customer issues and complaints Schedule regular maintenance and cleaning of facilities Meet regularly with upper management to stay informed on company issues Oversee security of the facility

Role Overview: Join Givaudan and be a part of celebrating the beauty of human experience, creating for happier, healthier lives with a love for nature. In this role as a Custom Classification Specialist, you will oversee and ensure the daily management of classifications using the WCO Harmonized Commodity for various products. You will support and proactively advise the business on customs classification issues, maintain the integrity of the Group Customs classification management systems, and analyze and review customs tariff numbers for the products and acquisitions portfolio. Key Responsibilities: - Daily management of classifications for ingredients, raw materials, compounds, manufacturing products, and samples - Determine and assign international and local customs classification of products based on the WCO Harmonized coding Schedule - Maintain and update classification codes upon revision of the customs tariff nomenclature - Respond to inquiries regarding HS classification for timely clearance - Support the Head of Customs Classification in defining HS determination criteria and ensuring integrity and accuracy of codes - Provide overview of risks, issues, and disputes associated with HS classification to the management - Collaborate with the Global classification team to harmonize the understanding of product classifications Qualifications Required: - University degree in chemistry or similar background (food engineering, chemical engineering would be an added advantage) - Good knowledge of customs and import/export regulations - Strong communication skills - SAP and SAP-GTS experience is a plus - Proficiency in Microsoft tools (Excel, Powerpoint) - Minimum of 5 years of relevant experience - Experience in Flavor, Fragrance, Food, Chemical, or related industry - Ability to prioritize and work independently on multiple tasks - Comfort working in a multi-dimensional, multi-national environment Note: The additional details of the company were not explicitly mentioned in the provided job description.,

As a HS Classification Specialist at Schneider Electric in Bangalore, you will be a part of the Global Classification CoE team, reporting to the Global Classification COE Global Lead (Customs & Tax). Your primary responsibility will be to define the Customs classification code for all SE product ranges, ensuring compliance in cross-border transactions and providing accurate data to customers. Your role is crucial in maintaining SE's compliance with local regulations and handling Customs classification inquiries and disputes effectively. **Key Responsibilities:** - Execute SE group companies classification policy and guidelines. - Collect and analyze technical data from Line of Business (LoB) product experts for Customs classification. - Act as the final arbiter for product Customs classification disputes within SE group entities. - Conduct periodic audits on product Customs classification. - Ensure compliance of Customs classifications with local regulations. - Prepare defending positions and arguments for Customs Authorities during audits or inquiries. - Manage product Customs classification ruling requests with local Customs authorities. - Monitor global and country legislation related to product Customs classification. - Prepare reports and metrics to monitor the customs classification database. **Qualifications:** - Minimum five years of experience in Customs & Trade Compliance with focus on product Customs classification. - Bachelor's degree in Business, Engineering, or Supply Chain Management. - Experience with global customs automated trade tools. - Advanced skills in MS Office, especially Excel and Access. - Preferred experience in engineering, drafting, or material management. - Fluent in English. At Schneider Electric, you will benefit from a robust benefits package including flexible work arrangements, paid family leave, and a culture of wellness. We value customer-centric individuals who embrace different perspectives, continuously learn, and act like owners. Schneider Electric fosters an inclusive culture that values diversity. To apply for this position, please submit an online application before the closing date. Schneider Electric does not accept unsolicited resumes from agencies and will not be responsible for any related fees.,

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help them grow - Collaborate with senior technology stakeholders to make key technology decisions - Grow and mentor talent to build a world-class development culture - Work closely with stakeholders to create impactful AI/ML features and products - Lead and develop a team of ML engineers to execute the AI/ML roadmap - Develop and optimize departmental processes to enhance team performance - Lead AI/ML model development, deployment, implementation, and monitoring - Collaborate with Data Scientists and Data Engineers, owning the end-to-end process - Build and maintain global AI/ML architectures and provide production support - Document model & ML system design, experiments, tests, validations, and live metrics - Stay updated on industry trends and leverage best practices for successful AI/ML solutions - Implement internal process improvements and build capabilities for production-level AI/ML systems - Support stakeholders with AI/ML-related technical issues and infrastructure needs - Handle escalated incidents and suggest solutions for future prevention - Participate in Code Review and process improvement Qualification Required: - 8+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering - M.S or PhD in Data Science/Machine Learning or related areas like Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics - Experience managing Data Science, Machine Learning, and/or AI teams - Strong leadership experience in AI/ML programs, development processes, and mentoring - Proficiency in developing data analytics systems, including model building, performance evaluation, and online deployment - Experience building scalable AI/ML systems for various advanced AI/ML problems - Knowledge of handling large and distributed datasets on various platforms - Familiarity with AWS or other cloud-based tools for data processing, model development, deployment, and monitoring - Strong mathematical foundation for Data Science, including probability, statistics, optimization, and linear algebra - Expertise in machine learning techniques such as regression, classification, clustering, time series forecasting, and optimization methods Note: Joining this team means being part of a culture that focuses on excellence, diversity, and inclusivity, encouraging individual expression and innovative ideas. If you are ready to contribute to making the world a healthier place and thrive in a challenging and supportive environment, apply now!,

As a TMF Reviewer at Fortrea, your role involves performing TMF review of electronic Trial Master Files (eTMF), Trial, Country, and Site artifacts for clinical studies in support of sponsors services contracts and internal Fortrea business needs. Key Responsibilities: - Provide process, control, coordination, and approval of clinical trial documents. - Manage ECD, Phase I-IV electronic trial master file (eTMF). - Maintain an understanding of applicable regulatory requirements. - Manage electronic Trial Master Files (eTMF), (Trial, Country, and Site artifacts) for clinical studies in accordance with TMF processes, collaborating with key study personnel such as the Study Team Member. - Perform document classification, ARC review (when applicable). - Conduct TMF review including mapping the sponsors TMF Index with respect to Fortrea UCV and TMF Review, if applicable. - Maintain the TMF in a state of audit readiness by performing Audit Ready Checks, initiating the What's Missing process, and ensuring full completeness of the TMF for each study. - Comply with established metrics for performance TMF reviews. - Process and track final essential artifacts required throughout all phases of the study in accordance with Fortrea SOPs, sponsor SOPs, GCP, and ICH guidelines. - Manage the identification of operational issues and resolutions related to the TMF. - Gather data requested by study team to support status reports to clients. - Prepare the TMF for QA or Sponsor audits, and implement corrective actions to findings in audit reports. - Participate in client audits and regulatory inspections. - Review and respond to TMF content quality issues, identify trends per study and across programs, and alert management of trends. - Collaborate with all members of BP and S to ensure overall client satisfaction for all studies. - Participate in business improvement initiatives to drive quality, productivity, and continuous improvement of business processes. - Attend internal or external study team meetings as required. - Perform any other duties as needed or assigned. Qualifications: - Bachelors Degree with a Life Sciences/Business focus. - Relevant and equivalent experience may be considered in lieu of educational requirements. - Excellent interpersonal skills. Experience: - Minimum 6 to 10 years of experience working in a clinical research environment. - Clear understanding of GCP and ICH guidelines. - Knowledge of Regulatory/Clinical document requirements. - Proficiency in Microsoft Office products, web-based applications, and Adobe Acrobat Standard. Preferred Qualifications: - Masters Degree with a Life Sciences/Business focus. - Equivalent experience within clinical research environment of a minimum of 6 to 10 years may be substituted for education requirements. - Experience working in clinical electronic systems preferred.,

You will be responsible for converting UX/UI mockups into responsive web applications using HTML, CSS, and JavaScript (React/Angular/Vue). Additionally, you will design and develop end-to-end AI/ML-enabled applications with data analytics integration. Your role will involve building, training, and deploying ML models (classification, prediction, recommendation) using Python, TensorFlow, or PyTorch. You will also perform data preprocessing, exploratory analysis, statistical testing, and data visualization. Collaboration with cross-functional teams to define solutions, manage project plans, and deliver business insights will be a key part of your responsibilities. Deployment of ML models via REST APIs and on cloud platforms like Azure Databricks or Azure ML Studio will also be expected. Qualifications Required: - B.E./M.Tech in Engineering or related field with specialization in Data Science. - 6+ years of experience in AI/ML, Python, and deep learning frameworks. - Hands-on knowledge of Docker, Kubernetes, MLflow (preferred). - Familiarity with manufacturing/process industry data and first-principle analysis. - Strong analytical, problem-solving, and communication skills. NSP-CMMI Level 3 company is a leading expert in digitalization and sustainability, with a global presence in the US, UAE, and India. They specialize in providing innovative Product Engineering services and solutions that leverage cutting-edge technologies such as Energy Efficiency, Internet of Things (IoT), Sustainability, Biometrics, Artificial Intelligence (AI), Cloud Computing, and Cybersecurity. Their expertise helps clients harness the power of these technologies to drive business growth, reduce environmental impact, and improve operational efficiency.,

Role Overview: As a ConOps Strategist at Google, you will be part of the Consumer Operations team, dedicated to focusing on the user experience of flagship consumer products like Gmail, Chrome, Android, and Google+. Your role involves actively supporting global users through help centers and online communities. You will leverage your detailed knowledge of Google's product suite to ensure user feedback is effectively communicated to the Product team to drive innovation. Collaborating with cross-functional teams including Product, Marketing, Legal, and Engineering, you will address user suggestions, bugs, abuse, and other product-related issues to enhance the overall user experience. Key Responsibilities: - Support the development and execution of the product roadmap for the Play Store, specifically focusing on search, discovery, and user engagement with various forms of content available on the platform. - Collaborate with Product Management, Engineering, Product Marketing, and other Play partner teams to develop capabilities and establish thought leadership for launching new products, scaling operations, and enhancing the impact of content solutions. - Define and implement guidelines and frameworks for content classification, evaluation, and deployment to improve user access to relevant and high-quality content. - Lead the operationalization of product features by overseeing all aspects required for a feature to be successfully launched, including design, legal considerations, and operational processes. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 8 years of experience in project/program management, consulting, or client-facing roles. - 5 years of experience in Product Management, Product Operations, or similar roles within online commerce or content businesses. - Experience in the gaming industry, particularly with a focus on mobile gaming consumers and aspects such as player acquisition, engagement, and business generation. - Experience in designing, implementing, and managing product development and operationalization frameworks and methodologies. - Familiarity with prompt engineering and human computation. - Previous experience collaborating with Product and Engineering teams. - Ability to navigate organizations effectively and work with internal and external partners across multiple geographic locations. - Strong decision-making skills to make tradeoffs and successfully launch new product features for user-facing commercial organizations, with the ability to influence cross-functional teams. - Excellent leadership skills and a passion for games. (Note: The additional details about the company were not explicitly provided in the job description.),

Role Overview: You will be a skilled and detail-oriented SAP ECC Variant Configuration (VC) Functional Specialist responsible for configuring, maintaining, and supporting SAP VC within the SAP ECC environment. Your main focus will be delivering tailored configuration solutions for complex product structures in collaboration with business and technical teams. Key Responsibilities: - Gather and analyze business requirements related to configurable products and translate them into SAP VC solutions. - Configure SAP Variant Configuration models including characteristics, classes, dependencies, and object dependencies. - Collaborate with business users, SAP functional teams, and technical developers to design and implement VC solutions. - Provide support for existing VC configurations and troubleshoot any related issues in SAP ECC. - Manage the lifecycle of configurable materials (KMATs) and their associated BOMs and routings. - Work on integration with other SAP modules such as SD, MM, PP, and PLM. - Interface with cross-functional teams to ensure seamless integration of VC with other SAP modules. - Participate in SAP ECC upgrades, testing, and data migration activities related to VC. - Create and maintain documentation for configurations, functional specs, and user training materials. - Provide guidance and training to end-users and business process owners. - Develop and maintain documentation for configurations, processes, and user training. - Participate in SAP projects, including upgrades, rollouts, and continuous improvement initiatives. - Conduct unit and integration testing of changes to ensure quality and accuracy. Qualification Required: - Bachelor's degree in information technology, Computer Science, Engineering, or a related field. Additional Details: Experience Requirements: - 8+ years of hands-on experience in SAP ECC with a strong focus on Variant Configuration. Required Skills: - Proficiency in SAP LO-VC, classification system, and object dependencies. - Good understanding of SAP SD, PP, and MM modules and how they integrate with VC. - Strong understanding of product modeling principles and configurable BOMs/routings. - Experience with configurable BOMs, Super BOMs, Super Routings, and Classifications. - Excellent analytical, problem-solving, and communication skills. - Ability to work independently and as part of a global team. - Strong documentation and articulation skills. - Adept in Agile, Scrum, and Waterfall methodologies. - Excellent problem-solving, critical thinking, and analytical skills. - Strong communication and interpersonal skills to effectively collaborate with stakeholders and team. Nice to Have: - Knowledge of SAP S/4HANA and the transition of VC to AVC is a plus. - Familiarity with ABAP debugging is a plus. - SAP Certified Application Associate SAP ERP (or relevant SAP certifications).,

You will be working as an advanced analyst in the India Analytics team at Thoucentric, closely collaborating with the Community Voice team. Your main responsibility will be building analytical solutions using unstructured text data to provide scalable insights and solutions for data-driven decisions. This is a 6-month contract role with a possibility of extension, situated under the Analytics Centre of Excellence within the Global Ops Insights organization. - Build, maintain, and scale ML/LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim. - Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases. - Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights. - Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data. - Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly). - Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions. - Stay up to date with the latest trends and best practices in NLP, AI/LLMs and experiment with newer techniques to shift bias towards efficiency. - Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques. Skills & Expertise Required: - 5-8 years of industry experience and an Advanced degree in Business Analytics or other quantitative field (Masters or PhD is a plus). - Proven track record of delivering full stack AI/ML projects from inception to business impact. - Advanced level proficiency in Python, including libraries such as NLTK, spaCy, scikit-learn, numpy, and pandas. - Strong understanding of SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Familiarity with linear regression, logistic regression, SVM, random forest, advanced concepts of NLP, KNN, K-Means, A/B testing, and multivariate testing. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. - Hands-on experience in text classification, sentiment analysis, topic modeling, and named entity recognition (NER), proficiency in building and deploying machine learning models and analyzing unstructured data. - Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn. - Familiarity with Git or other version control systems, deep learning models for NLP tasks, such as transformers (e.g., BERT, GPT). - Possess a positive and solution-oriented mindset, with exceptional problem-solving abilities, self-motivation, and strong organizational and time management skills. - Excellent communication and collaboration skills with the ability to work effectively in a cross-cultural and cross-functional environment. - Ability to conduct exploratory data analysis (EDA) to uncover insights and trends in data and communicate findings to both technical and non-technical audiences. Thoucentric offers a great consulting environment where you have the opportunity to define your career path, work with Fortune 500 companies and startups, and be part of a supportive working environment that encourages personal development. Additionally, you will be part of an extended family with an open culture, flat organization, and excellent peer group, contributing to the exciting growth story of Thoucentric.,

You will be joining DataWeave, a leading provider of advanced sales optimization solutions for Digital Commerce businesses, consumer brands, delivery intermediaries, and marketplaces. The company's machine learning-enabled SaaS platform offers over 400 global brands and retailers streamlined access to Digital Shelf Analytics and Dynamic Pricing solutions. By leveraging actionable, Digital Market Intelligence generated through data analysis on over 100 million products daily, DataWeave empowers businesses to develop data-driven growth strategies and make high-frequency business decisions that drive revenue growth and profitability. In your role at DataWeave, you will be part of the Semantics team, responsible for building the core machine learning backend and structured domain knowledge necessary to deliver insights through data products. This team operates as fast-paced labs within the organization, applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to solve challenging problems across different domains. **Roles & Responsibilities:** - Have the opportunity to work on some of the most challenging research problems in NLP and Computer Vision. - Utilize huge text and image datasets to develop and enhance data science applications at scale. - See the immediate impact of your work on customers and the value you bring to the company. - Work on a variety of problems and explore different tools to discover your areas of interest. - Benefit from a culture of openness, a fun work environment, a flat hierarchy, and flexible working hours. - Access learning opportunities through courses, tech conferences, and mentorship from senior team members. - Enjoy competitive salary packages and fast-paced growth opportunities. **Who we are looking for:** The ideal candidate for this role is a strong software developer or researcher with experience in building and deploying production-grade data science applications at scale. You should have a Master's degree and at least 1 year of experience in working on NLP or Computer Vision problems. Candidates with 4+ years of relevant experience and a Master's degree (PhD preferred) will be considered for senior roles. **Skills & Requirements:** **Key problem areas:** - Preprocessing and feature extraction from noisy and unstructured data in text and images. - Keyphrase extraction, sequence labeling, entity relationship mining from texts in various domains. - Document clustering, attribute tagging, data normalization, classification, summarization, and sentiment analysis. - Image-based clustering and classification, object detection, text extraction from images, generative models, and recommender systems. - Implementing ensemble approaches using multiple text and image-based techniques for the above problems. **Relevant set of skills:** - Strong grasp of computer science concepts, probability and statistics, linear algebra, calculus, optimization, algorithms, and complexity. - Background in information retrieval, data mining, statistical techniques, NLP, and computer vision. - Proficient coding skills in multiple programming languages with experience in building production-grade systems, especially in Python. - Experience in building and deploying machine learning models, with prior exposure to deep learning being advantageous. - Ability to work with unstructured data and develop robust clustering and classification models. - Familiarity with tools and libraries for machine learning and visualization like numpy, matplotlib, scikit-learn, Keras, PyTorch, and TensorFlow. - Proficiency in using the command line, Git, and other essential software development tools. - Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus. - Self-starters who thrive in fast-paced environments and demonstrate strong problem-solving skills. - Bonus points for personal projects, including open-source contributions hosted on GitHub. **Role and responsibilities:** - Understand the business problems and align data science capabilities with the product strategy. - Conduct research, experiments, and build prototypes to solve Retail domain problems. - Develop robust clustering and classification models for production use. - Focus on scalability, automation, measurement, and proactive optimization. - Take ownership of projects, work with minimal supervision, and drive algorithmic improvements. - Contribute to building new capabilities, business awareness, and exploring productization opportunities. - Act as a tech thought leader, mentor junior team members, and stay updated on the latest research in deep learning, NLP, Computer Vision, and related areas. If you are interested in joining a dynamic team at DataWeave and contributing to cutting-edge solutions in the digital commerce space, please reach out to the company at the following address: InfoWeave Analytics Pvt Ltd, 3rd Floor, B Windsor, 75, Bannerghatta Rd, Bengaluru, Karnataka 560076 Contact: +(91) 80 618 52 222 Email: contact@dataweave.com,

As a member of Finastra's Global Data Office, your role will be crucial in supporting the Enterprise Data Governance team under the supervision of the Global Head of Data Governance. Your responsibilities will involve a blend of technical and business tasks to ensure the proper development, configuration, and maintenance of Finastra's enterprise data governance systems. The primary goal is to uphold the security, accessibility, quality, usability, and integrity of critical data assets. By contributing to Finastra's data governance strategies, you will assist in enhancing the technical infrastructure essential for our governance framework and drive the global transformation of Finastra's data governance program. This transformation aims not only to meet security, regulatory, and compliance requirements but also to foster innovation in data, analytics, and AI product development, creating new avenues for monetization. **Responsibilities & Deliverables:** - Administer and maintain Microsoft Purview environments, ensuring proper configuration, performance, and availability. - Support the onboarding of data sources into Purview, including scanning, classification, and metadata curation. - Collaborate with data governance, security, and compliance teams to implement policies and access controls within Purview. - Monitor and troubleshoot Purview services, resolving issues related to data discovery, lineage, and cataloging. - Assist in the development and maintenance of business glossaries, data domains, and classification rules. - Provide user support and training for business and technical stakeholders on Purview features and best practices. - Work with Microsoft support and internal IT teams to manage updates, enhancements, and issue resolution. - Contribute to the continuous improvement of data governance processes through automation and integration with other M365 tools. **Required Skills & Experience:** - 3-5 years of experience in data governance, data cataloging, or metadata management, with hands-on experience in Microsoft Purview. - Minimum 5 years of experience, preferably in banking, fintech, or other highly regulated industries. - Strong understanding of data governance principles, including metadata, data catalog, business glossary, data classification, lineage, stewardship, and policy enforcement. - Experience integrating Purview with Azure services (e.g., Azure Data Factory, Synapse, Data Lake) is a plus. - Familiarity with regulatory compliance frameworks (e.g., GDPR, CCPA, BCBS 239) and their implications for data governance. - Proficiency in Azure administration and security concepts, including role-based access control (RBAC). - Experience working in Agile environments and collaborating with cross-functional teams. - Strong analytical, troubleshooting, and communication skills. **Qualifications:** - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree is a plus). - Strong understanding of data governance principles, metadata management, data quality, and data management frameworks. - Proven ability to support strategic implementation, manage change, and deliver results under tight deadlines. - Excellent interpersonal skills with a demonstrated ability to collaborate effectively with cross-functional stakeholders, including product, legal, privacy, risk, and security teams. - Exceptional written and verbal communication skills in English. - Professional certifications in data governance (e.g., CDMP, ADGP, IGP) are advantageous. - Microsoft Certified: Azure Data Fundamental certification is a plus.,

As an experienced professional in Compliance Management in GTS, you should have the following skills and experiences: - Expertise in SPL Screening, Embargo, and License Determination - Proficiency in Customs Management for Export and Import, including configuration and Default procedure determination - Ability to handle RICEFW in Customs Management for Export and Imports - Knowledge of Product Classification configurations - Familiarity with OTC and P2P integration processes with SAP GTS, including configurations and RICEFW handling on P2P and OTC sides for GTS touch points - Experience in EDI and IDOC handling procedures in customs management activities within SAP GTS - Understanding of Preference process, Intrastat Reporting, and LTVDs - Advantageous to have knowledge of Fiori apps for International Trade Kindly note that any additional details of the company were not provided in the job description.,

Role Overview: You will be managing a team responsible for researching and verifying credit data of customers to establish or update lines of credit. Your role will involve developing and implementing credit & collection policies and processes, assessing, recommending and/or approving credit limits, and maintaining relationships with outside credit and/or collection agencies. Additionally, you will be responsible for maintaining various files and records associated with delinquent accounts, incomplete files, and credit risks. Your focus will be on improving productivity through process improvement, policy/procedure development, and systems refinement. You will also manage the negotiation of terms, credit structure, settlements, etc., review and advise on credit and collections analyses/reports/presentations, and provide direction to internal Credit & Collections staff, external contractors, vendors, and other third-party personnel. Key Responsibilities: - Develop and implement credit policies and procedures - Assess and evaluate creditworthiness - Manage credit risk by monitoring accounts receivable, assessing credit risks, and taking actions to mitigate potential losses - Determine appropriate credit terms and limits for customers based on their creditworthiness and the company's risk profile - Ensure compliance with legal and regulatory requirements by staying informed about relevant laws and regulations - Supervise and train credit department staff by managing a team of credit analysts, providing guidance, training, and performance feedback - Prepare reports and present findings to senior management by providing regular updates on credit performance, risk assessments, and collection activities Qualification Required: - 3-5 years of work experience in credit management/AR function - Relevant professional degree for entry-level with certifications like CA/CWA/CS/CPA/CFA - Ability to analyze financial data, identify trends, and make informed decisions - Ability to effectively communicate with customers, colleagues, and senior management - Understanding of credit scoring models, risk assessment techniques, and relevant legal requirements - Thorough understanding of GST laws/rules/regulations, HSN Classification, and Customs laws/rules & regulations - Proficiency in using software for credit analysis and reporting, SAP & BI Tools Additional Company Details: The company emphasizes the importance of adhering to the principles of revenue recognition as per Ind AS/IFRS, ensuring accurate invoice generation for different types of customers with accurate GST rates, maintaining product classification with accurate HSN code and related duty structure, ensuring compliance with Indian GST laws and regulations, preparing and filing GST returns accurately and on time, maintaining accurate records of GST-related transactions, and preparing necessary documentation for GST audits.,

An Export Executive manages international trade by handling all aspects of the export process, including order execution, logistics coordination, and compliance with regulations . Key duties include preparing and managing export documents, liaising with customs and freight forwarders, and communicating with clients and internal teams. Essential skills include strong communication, attention to detail, knowledge of export/import documentation, and expertise in logistics and regulatory compliance An Export Executive manages international trade by handling all aspects of the export process, including order execution, logistics coordination, and compliance with regulations . Key duties include preparing and managing export documents, liaising with customs and freight forwarders, and communicating with clients and internal teams. Essential skills include strong communication, attention to detail, knowledge of export/import documentation, and expertise in logistics and regulatory compliance An Export Executive manages international trade by handling all aspects of the export process, including order execution, logistics coordination, and compliance with regulations . Key duties include preparing and managing export documents, liaising with customs and freight forwarders, and communicating with clients and internal teams. Essential skills include strong communication, attention to detail, knowledge of export/import documentation, and expertise in logistics and regulatory compliance An Export Executive manages international trade by handling all aspects of the export process, including order execution, logistics coordination, and compliance with regulations . Key duties include preparing and managing export documents, liaising with customs and freight forwarders, and communicating with clients and internal teams. Essential skills include strong communication, attention to detail, knowledge of export/import documentation, and expertise in logistics and regulatory compliance An Export Executive manages international trade by handling all aspects of the export process, including order execution, logistics coordination, and compliance with regulations . Key duties include preparing and managing export documents, liaising with customs and freight forwarders, and communicating with clients and internal teams. Essential skills include strong communication, attention to detail, knowledge of export/import documentation, and expertise in logistics and regulatory compliance

As a Specialist - Data Protection at Standard Chartered, you will play a crucial role in identifying, designing, and implementing internal process improvements to automate manual processes and optimize data protection solutions. You will collaborate with architects and other leads to develop service strategies encompassing people, processes, and technology. Additionally, you will define roadmaps for future service and product capabilities and review the mature operating model for the service with stakeholders. Key Responsibilities: - Identify, design, and implement internal process improvements such as automating manual processes and optimizing data protection solutions. - Collaborate with architects and other leads to develop service strategies focusing on people, processes, and technology. - Define roadmaps for future service and product capabilities. - Review and validate the mature operating model for the service with stakeholders. - Identify opportunities for continuous and automated deployment. - Document and publish service catalogues to enhance transparency on service capabilities and improve end-user access. - Work on demand management to deliver demand driven by stakeholders like business and regulators. - Partner with technical teams and solution architects to analyze technical and non-technical requirements for building robust data protection solutions. - Support internal and external auditors with auditing requirements. Skills And Experience: - Minimum 5+ years of experience in relevant security products including Data Security Protection, Azure Dev Ops, Dev Sec Ops, Agile Scrum Methodology, Cloud Security Products, and Information Rights Management. - Hands-on experience with data protection technologies like Information Rights Management, Data Discovery & Classification, DLP, and CASB is essential. - Deep understanding of cloud data security solutions and experience with SaaS products is a plus. - Demonstrable experience in Azure Dev Ops/Dev Sec Ops and Agile/Scrum methodologies. - Experience in delivering engagements across the cloud security lifecycle in alignment with regulatory and standards. - Experience working with geographically dispersed teams, preferably in the Financial Services industry. - Experience with enterprise applications including architecture, development, support, and troubleshooting. - Exposure to security products to assess security implications and requirements for new technology introductions. - Strong interpersonal and communication skills with the ability to work effectively in a team environment. - Industry certifications like CISSP, Azure, and AWS related certifications would be advantageous. - Collaborate with business teams, infrastructure teams, security operations, project teams, and offer technical guidance. Qualifications: - Education: Minimum 15 years of education training in Azure Dev Ops. - Certifications: CISSP (preferred). - Languages: English. About Standard Chartered: Standard Chartered is an international bank dedicated to making a positive impact for clients, communities, and employees. With a history spanning over 170 years, the bank values challenging the status quo, embracing challenges, and seeking new opportunities for growth and improvement. Standard Chartered celebrates individual talents and encourages diversity and inclusion in all aspects of its operations. What We Offer: - Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available. - Time-off benefits including annual leave, parental/maternity leave, sabbatical, and volunteering days. - Flexible working options based on home and office locations. - Proactive well-being support including digital platforms, development courses, Employee Assistance Programme, sick leave, mental health first-aiders, and self-help toolkits. - Continuous learning culture with opportunities for growth and development. - Inclusive and values-driven organization that embraces diversity and uniqueness across all teams and geographies.,

As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Masters degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction). - Experience with deep neural network architectures including RNNs, and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Statistical Analysis & Visualization - Feature Engineering & Model Evaluation - Understanding of GPU, CUDA & High performance Computing Frameworks & Methods. Preferred Qualifications: - PHD in Computer Science, Data Science, or a related field. - Experience in large Model Development & Training from the Scratch. - Familiarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition. - Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). - Knowledge of LLM integration frameworks (e.g., LangChain). - Hands-on experience with distributed computing and cloud-scale data processing. - Software Design & Architecture Qualcomm India Private Limited is focused on applying state-of-the-art AI and ML technologies to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. If you are a passionate and technically strong engineer looking to drive innovation in chip design, qualification, and debug engineering, this is the perfect opportunity for you.,

Role Overview: As the VP Head of Regulatory Client Classifications Operations in India at Deutsche Bank, your primary responsibility will be to oversee and manage all functional teams involved in Regulatory Client Classification (RCC) controls within the India Regulatory and Cross-Product group. This includes supervising staff in both Bangalore and Jaipur locations, ensuring accurate client documentation, and leading initiatives to improve control and efficiency. Your role will also involve collaborating with technology and business partners to enhance platforms, meet regulatory requirements, and manage risks effectively. Key Responsibilities: - Ensure Deutsche Bank fulfills its regulatory client classification obligations by identifying any gaps or issues, conducting timely analysis, and implementing appropriate remediation measures. - Serve as the final escalation point for escalations, controls, key processes, and risk indicators, setting an example in supporting the Bank's Risk, Control, and Regulatory agenda. - Foster a team culture of high performance, ownership, integrity, and passion to achieve the Bank's strategic targets. - Empower and develop staff by identifying training needs, succession planning, and promoting diversity at all levels. - Lead transformation initiatives to optimize processes and enable regulatory changes, driving global cross-jurisdictional improvement projects. - Monitor India RCC business deliverables and performance targets, ensuring effective control frameworks and timely risk mitigation. - Provide strong governance for monthly processes, including preparing governance fora, scorecards, MIS, and Management Reporting to senior stakeholders. - Demonstrate a strong understanding of EMEA & APAC regulations, such as EMIR, Mifid, GBSA, and more. - Utilize strong leadership, communication, analytical, problem-solving, and strategic planning skills to drive performance and influence senior stakeholders effectively. Qualifications Required: - VP level experience in Investment Banking (Operations). - Ability to lead virtual teams and matrixed organizations across different business cultures. - Strong understanding of risk & control and regulatory client classification landscape. - Proven experience in stakeholder management, critical issue resolution, and senior stakeholder engagement. - Excellent verbal and written communication skills for reporting complex concepts to senior management. - Strong analytical skills with a continuous improvement mindset to drive sound decision-making based on data analysis. Additional Details: Deutsche Bank offers a range of benefits, including a best-in-class leave policy, gender-neutral parental leaves, childcare assistance, sponsorship for industry certifications, and comprehensive insurance coverage for employees and their dependents. The company fosters a culture of continuous learning, support, and collaboration to empower its employees to excel together every day. Please note that you can visit Deutsche Bank's company website for further information: [Deutsche Bank Company Website](https://www.db.com/company/company.htm). The company promotes a positive, fair, and inclusive work environment, welcoming applications from all individuals to be part of the Deutsche Bank Group.,

You will be joining Nasdaq's Data Product Development and Innovation (DPDI) group as a Specialist Data Science in the Bangalore technology center in India. Nasdaq is dedicated to revolutionizing markets and embracing new technologies to develop innovative solutions. If you are driven by innovation and efficiency, this is the ideal place for you. You will be part of the AI and Automation team in Bangalore, applying cutting-edge AI technologies to solve complex data and workflow challenges. Your responsibilities will include: - Working with Product and Tech teams to enhance AI-based microservices using state-of-the-art LLMs. - Collaborating with various departments to modernize workflows using RPA and AI. - Creating NLP pipelines for data labeling, matching, and extraction. - Assessing and optimizing the quality and performance of solutions. - Implementing best practices of MLOps / LLMOps in deploying new products. Minimum 7+ years of development experience in Python and 5 years in processing structured and unstructured data using NLP. 3+ years of experience in applying classification, regression, and related ML models. 1+ years of experience utilizing LLMs and RAG to solve real-world problems. Experience leading medium-sized projects from concept to completion. Solid understanding of NLP concepts and related areas. Experience with RPA, web-scraping, and LLM fine-tuning is advantageous. Proficiency in Cloud and systems experience in AWS S3/EC2, Databricks, and Linux. Strong organizational and communication skills. Ambitious and enthusiastic self-starter with a Bachelor's Degree in Computer Science or related discipline. - Bachelors Degree in Computer Science, Computer Engineering, or related discipline. Masters preferred. - Previous experience crafting financial data products is a plus. - Strong aptitude and/or interest in financial markets. - Leadership experience in a start-up environment. Nasdaq offers a vibrant and entrepreneurial work environment where taking initiative and intelligent risks are encouraged. The company values diversity and inclusivity, providing opportunities for personal and professional growth in a hybrid-first work culture. If you are interested in this opportunity, please submit your application in English. Nasdaq offers various benefits including an annual monetary bonus, Employee Stock Purchase Program, Health Insurance Program, flexible working schedule, internal mentorship program, and access to online learning resources. Come as you are and be a part of a culture that values connection, support, and empowerment.,

As a manager in the Supply Chain team, you will contribute as a subject matter expert (SME) in the areas of S&OP, Product/Portfolio Planning, Demand Planning, Supply Planning, and Inventory Planning. You will be responsible for various tasks such as performing current state assessments, developing future state S&OP designs, creating MIS and insight decks, coordinating phase-in/phase-out activities, leading portfolio rationalization, and implementing segmentation-based forecasting strategies. - Perform current state assessments and develop future state S&OP designs - Manage and lead monthly S&OP cycles - Create MIS and insight decks for regional/global S&OP reviews - Coordinate phase-in/phase-out activities with marketing, supply, and manufacturing teams - Lead portfolio rationalization and health analysis; implement segmentation-based forecasting and fulfillment strategies - Analyze KPIs related to revenue, margin per SKU, and stock reduction opportunities - Strong experience in end-to-end demand planning including process design, data analysis, stat forecast modeling, consensus forecast, etc. - Drive end-to-end fulfillment and replenishment execution, including master data validation, BOM setup, and planning parameter alignment - Establish Inventory baseline, perform assortment, product classification, and aging analysis - Calculate inventory targets based on different stock components and key associated drivers - Identify short-term and long-term opportunities based on calculated targets vs. baseline - Minimum of 6-10 years of experience in Supply chain planning, consulting, or process improvement - Previous advisory experience from a top-tier strategy firm, leading specialist, niche advisory firm, or Big-4 consultancy preferred - Bachelor's degree in engineering or a related field - MBA/masters degree in supply chain & Operations Management, Logistics, Business Administration, or a related field - Strong storyboarding skills to translate operational insights into impactful client presentations - Excellent communication and interpersonal skills with high motivation to learn and grow - Ability to simultaneously work on several projects and effectively manage deadlines - Experience in KPI tracking and performance dashboards - Strong cross-functional collaboration and stakeholder engagement experience - Hands-on experience with planning optimization tools is preferred - Detail-oriented and possess strong organizational skills to excel in a deadline-driven environment - Operational experience in running end-to-end S&OP cycles, exposure to business KPIs, and leadership reviews - Excellent fact-gathering and analytical skills, including business process mapping and quantitative analysis - Tools knowledge on Alteryx, Power BI, python, Linear programming platforms, etc. would be a big plus - APICS CSCP, CPIM, CLTD certifications would be a plus,