37 Product Classification Jobs nearby Tirupati

Job Description: Meeting doctors and OT staff, promotion and demand generation for the requisite product portfolio. To ensure complete coverage of doctors as per the specifications and classifications given by the Company. To implement the sales strategies in the respective territory of the Company. To collect the various relevant market information & submit it to the ABM. To respect and work within the systems and the values of the company Qualifications: Science Graduate (preferred) Non Science Background will be considered ONLY if +1.5 Years Health care Company Exp. (Current). D.Pharma Candidates shall be considered only if Relevant Health care Company Exp. Of Min 1.5 yrs Experience: Business development: 1 year (Preferred) Pharma/ Medical Devices/ Health care company Exp. only For Science Back Ground Candidates Min. 1 yrs For Non Science Candidates Min 1.5 Yrs for D.Pharma Candidates Min 1.5 Yrs Selling medical devices/ pharma products: 1 year (Preferred)

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

As a Technical Project Leader at Novartis, you will play a crucial role in leading and managing all technical development activities for assigned small molecule projects within Technical Research & Development (TRD). You will represent TRD as a core member in global project teams to define the global CMC strategy for the development, submission, approval, and life cycle management of products. Your main responsibilities will include: - Perform strategic planning for complex and accelerated projects, aligning and coordinating multiple activities, establishing realistic project timelines, and tracking progress effectively. - Establish technical development plans based on project priority classification, gated by clinical readouts, and considering overall portfolio priorities. - Identify, assess, manage, and communicate CMC risks and program risks, including handling difficult risks in complex projects. - Provide drug development expertise along with technical expertise, challenge the status quo, and foster creativity within the team. - Build relationships with internal and external stakeholders, participate in boards and leadership discussions, and collaborate effectively in various settings. - Share industry knowledge, including insights on competitors, customers, and the external environment, and actively contribute to EPTs/GPTs beyond CMC line functions. Furthermore, you will be required to have the following qualifications: - Minimum of 2-3 years of directly related experience as a functional project leader and relevant experience as Associate TPL or equivalent. - Strong scientific and technical knowledge, understanding of technical development tasks, and ability to establish/maintain DS/DP/Device supply plan. - Fundamental knowledge of GMP and regulatory requirements, cross-functional knowledge regarding drug development, and completed basic project management training. - Proficiency in using project management tools such as Gantt charts, MS Project, and Resource Cockpit, as well as effective presentation skills.,

Role Overview: You will be part of YouTube's Trust & Safety team, dedicated to ensuring a safe environment for users, viewers, and content creators worldwide. Your role will involve analyzing data and contributing to strategies aimed at reducing network abuse on YouTube. You will need to make data-driven recommendations while working in a fast-paced and dynamic environment. Key Responsibilities: - Apply advanced statistical methods to datasets to understand the impact of abuse on the YouTube ecosystem and develop new workflows to combat abuse. - Learn technical concepts and systems to deliver results, communicate technical findings, and manage technological solutions for quality assurance. - Conduct fraud and spam investigations using multiple data sources, identify product vulnerabilities, and drive anti-abuse experiments. - Collaborate with engineers and stakeholders to improve workflows through process enhancements, automation, and anti-abuse system creation. - Develop training materials, facilitate communication with business stakeholders, and design prompts for Large Language Models (LLMs) to enhance accuracy in identifying abusive content and behavior. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 1 year of experience in data analysis, project management, and using SQL, R, Python, or C++. - Experience in data management, metrics analysis, experiment design, and automation. - Familiarity with classification systems, ranking systems, LLMs, and Artificial Intelligence (AI) agents. - Ability to work with global teams, synthesize datasets, perform statistical modeling, and translate insights into business strategies. Additional Company Details: Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is committed to enhancing the YouTube experience, promoting internet safety, and protecting free speech. The team works on various aspects such as understanding online content concerns, navigating legal frameworks, and enforcing policies globally. As part of the team, you will have the opportunity to contribute to a safer online environment and make a positive impact on the digital world.,

Role Overview: In a fast-paced, dynamic, and proactive environment, you will be a part of YouTube's Trust Safety team, dedicated to ensuring a safe online experience for users, viewers, and content creators worldwide. Your role involves formulating strategies and implementing solutions for anti-spam analytics and detection at scale within YouTube. You will collaborate with cross-functional teams to address community abuse issues and enhance the overall YouTube platform experience. Key Responsibilities: - Guide the team in performing investigations and applying advanced statistical methods to analyze large data sets from diverse sources. - Lead the team in creating and deploying automated solutions for bulk classification of abusive content and behavior. - Collaborate with stakeholders from engineering, product, policy, and legal departments to drive anti-abuse solutions impacting various areas. - Develop and lead analyst teams to address spam and abuse vectors across YouTube community engagements. - Identify spam trends and techniques to deploy anti-abuse countermeasures efficiently. Qualifications Required: - Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience. - 5 years of experience in data collection, management, statistical modeling, data mining, and project management. - 2 years of experience in management and problem-solving with data management and metrics analysis. - Experience with classification systems, ranking systems, and excellent investigative skills. - Knowledge of product and policy communication across multiple levels. Note: The job description does not include any additional details about the company.,

**Job Description:** At Amgen, you will play a crucial role in identifying trends, root causes, and potential improvements in products and processes to ensure patient voices are heard and addressed accurately. As a Sr Associate Data Scientist, your responsibilities will include: - Collecting, cleaning, and managing large datasets related to product performance and patient complaints. - Ensuring data integrity, accuracy, and accessibility for further analysis. - Developing and maintaining databases and data systems for storing patient complaints and product feedback. - Analyzing data to identify patterns, trends, and correlations in patient complaints and product issues. - Using advanced statistical methods and machine learning techniques to uncover insights and root causes. - Developing analytics or predictive models to anticipate potential product issues and patient concerns. - Preparing comprehensive reports and visualizations to communicate findings to key collaborators. - Presenting insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service. - Collaborating with regulatory and compliance teams to ensure adherence to healthcare standards and regulations. - Finding opportunities for product enhancements and process improvements based on data analysis. - Working with product complaint teams to implement changes and monitor their impact. - Staying updated on industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics. - Evaluating data to support product complaints. - Working with software developers and engineers to translate algorithms into commercially viable products and services. - Collaborating in technical teams for the development, deployment, and application of applied analytics. **Qualifications Required:** **Basic Qualifications:** - Masters degree and 1 to 3 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Bachelors degree and 3 to 5 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Diploma and 7 to 9 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools. **Preferred Qualifications:** - Demonstrated skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets. - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification. - Proficiency in analyzing time-series data for forecasting and trend analysis. - Familiarity with Data Bricks platform for data analytics. - Previous experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements. At Amgen, you can expect comprehensive Total Rewards Plans aligned with local industry standards, supporting your professional and personal growth. Join us in a career where you can make a difference and be part of a collaborative and inclusive environment dedicated to advancing science to serve patients. Apply now and be a part of our mission to improve the quality of life for people around the world.,

In this role at Phenom, you will be responsible for leading and maturing the Problem Management process. Your main focus will be on problem identification, root cause analysis, and implementing preventive actions in collaboration with various teams. Your contributions will directly impact system reliability, user experience, and foster a culture of continuous improvement at Phenom. **Key Responsibilities:** - **Problem Management Oversight:** - Own and manage the Problem Management process according to ITIL best practices. - Develop, implement, and enhance policies, workflows, and procedures. - Ensure accurate logging, classification, and prioritization of problems. - Work closely with Agile application teams to integrate problem management into delivery processes. - **Root Cause Analysis & Resolution:** - Investigate major incidents and conduct root cause analysis (RCA). - Collaborate with cross-functional teams to define corrective and preventive actions. - Track and ensure the implementation of permanent solutions to prevent recurrence. - **Proactive Problem Identification:** - Analyze incident trends and monitoring data to identify potential risks. - Implement proactive measures to prevent service interruptions before they occur. - **Reporting & Metrics:** - Create and deliver regular problem management reports, highlighting RCA findings and trends. - Define, track, and present KPIs to measure process effectiveness. - **Collaboration & Communication:** - Partner closely with Incident, Change, and other Service Management functions for process integration. - Keep stakeholders updated on investigations and resolution progress. - Mentor teams and encourage a culture of problem prevention and continuous improvement. **Qualifications:** - **Education & Experience:** - Bachelor's degree in Computer Science, Information Systems, or equivalent experience. - Minimum of 5 years in IT Service Management, with at least 2 years dedicated to Problem Management. - **Skills & Competencies:** - Strong knowledge of ITIL; ITIL Foundation Certification required (Intermediate/Expert preferred). - Hands-on experience with ITSM tools (Jira Service Management, ServiceNow, etc.). - Proficiency in RCA techniques (5 Whys, Fishbone Diagram, Fault Tree Analysis). - Understanding of cloud platforms (AWS, Azure, GCP), microservices, APIs, and CI/CD. - Experience with observability tools (Splunk, Datadog, New Relic). - Analytical mindset with robust data interpretation and reporting skills (Excel, SQL, BI tools). - Excellent communication skills; ability to articulate technical problems in business terms. - Proven ability to influence across teams and drive improvement initiatives. **Preferred:** - Experience in Agile/DevOps environments. Join Phenom and be part of a rapidly growing organization that offers career development opportunities. Enjoy flexible work schedules, parental leave, wellness benefits, and an inclusive culture that celebrates diversity, equity, and belonging. Seize the chance to access perks, learning opportunities, and contribute to building products that revolutionize how the world operates.,

As an AI Engineer specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies, your role will involve developing, implementing, and optimizing state-of-the-art AI solutions to enhance products and services. Your responsibilities will include: - **LLM Development & Integration:** - Fine-tune and deploy large language models for specific applications like chatbots, content generation, and customer support. - Evaluate and enhance the performance of LLMs in practical settings. - **NLP System Design:** - Design and implement NLP algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. - Work with extensive datasets to train and validate NLP models. - Collaborate with cross-functional teams to tackle language-based challenges effectively. - **Speech-to-Text Implementation:** - Develop and optimize speech-to-text pipelines for various languages and dialects. - Integrate speech recognition systems with NLP and LLM solutions to achieve end-to-end functionality. - Stay updated on advancements in automatic speech recognition (ASR). - **Performance Optimization:** - Enhance AI model efficiency for scalability and real-time processing. - Address biases, improve accuracy, and ensure robustness in all models. - **Research and Innovation:** - Keep abreast of the latest research in LLM, NLP, and speech technologies. - Experiment with emerging techniques and incorporate them into company solutions. - **Documentation and Collaboration:** - Maintain comprehensive documentation for models, processes, and systems. - Collaborate with product managers, software engineers, and other stakeholders. **Qualifications:** - Minimum 8+ years of experience in the field. - Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Proven experience in LLM development using frameworks like OpenAI, GPT, or similar. - Strong understanding of NLP techniques and libraries such as spaCy, NLTK, Hugging Face. - Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. - Proficiency in programming languages like Python, along with frameworks such as TensorFlow or PyTorch. - Essential skills include strong problem-solving abilities, a collaborative mindset, and the capacity to manage multiple projects concurrently.,

As a highly skilled Senior Salesforce AI developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein, you will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. **Key Responsibilities:** - Lead the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service cloud. - Collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. - Lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. - Integrate third-party applications and data sources with Salesforce via APIs. - Collaborate with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. - Implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. - Use Salesforce Einstein for natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. - Analyze customer data to identify actionable insights and recommend tailored product offerings. - Monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. - Ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. **Key Qualifications:** - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features which include Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Expertise in customizing applications using Apex, LWC, and Lightning Flows. - Experience with data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Good understanding of machine learning algorithms, including classification, regression, clustering, and time series forecasting. - Strong understanding of Salesforce architecture, including Sales and Service Cloud features. - Familiarity with NLP, image recognition, sentiment analysis, and other AI applications to improve customer experience. - Strong problem-solving skills and the ability to translate complex business needs into actionable AI/ML solutions. - Knowledge of AI governance, model explainability, and data ethics. - Knowledge of leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP solutions. Please note that the additional details of the company were not included in the provided job description.,

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervised learning) to solve critical business problems such as classification, regression, and clustering. - Engineer meaningful features from raw data to optimize model performance. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. - Conduct feature selection and hyperparameter tuning to enhance model performance. - Validate model results using appropriate statistical and ML evaluation metrics. - Collaborate with data engineers to build and refine robust data pipelines. - Translate insights into clear, actionable strategies by working closely with product, engineering, and business teams. - Utilize visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. - Build models for production deployment using tools like Spring Boot and GitLab. - Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches. - Stay updated with ML/AI innovations and suggest tool or process improvements. - Participate in Agile ceremonies and manage tasks using tools such as Jira. - Document methodologies and maintain version control for all modeling projects. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. Additional Company Details: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been pioneering the digital revolution by creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity as key values for employees and clients.,

Role Overview: You will be part of the team at Oracle Health & AI that focuses on product development and strategy for Oracle Health, while contributing to the building of a platform for modernized, automated healthcare. This entrepreneurial environment promotes creativity and energy, aiming to establish a world-class engineering center with a focus on excellence. As a member of the Oracle Digital Assistant (ODA) team, you will work on creating skills and digital assistants using Conversational AI and Generative AI capabilities in a low-code paradigm. Your role will involve developing industry-leading solutions in the Healthcare domain, which will be productized as features in end products. Your contributions will be crucial in delivering new Generative AI-powered solutions for healthcare and enterprise customers. Key Responsibilities: - Utilize strong expertise in Python programming and Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) to deliver per specifications and complete assignments independently - Develop ML models using techniques like Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, and NLP - Design algorithms from scratch and use existing libraries for ML, Deep Learning, and Reinforcement Learning; Prepare data pipelines and feature engineering pipelines for building robust models - Apply ML Sciences depth, programming expertise, and mathematical understanding to deliver state-of-the-art ML solutions in the Healthcare domain - Drive the selection of methods and techniques for problem-solving, demonstrate strong program management skills, mentor junior data scientists, and contribute to peer reviews, team learning, and meeting product objectives - Have strong experience in LLM Systems, LLMOps, Prompt Engineering, and RAG systems Qualification Required: - Bachelors Degree with relevant experience; Masters degree - Exposure to real-world MLOps deploying models into production and adding features to products - Knowledge of working in a cloud environment - 3+ Years of Experience - Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot,

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 member of the Amgen team, you'll have the opportunity to contribute to the mission of serving patients living with serious illnesses. Your role will involve driving data and analytics initiatives with precision and purpose in support of procurement and supply chain functions. Reporting to the Source-to-Contract (S2C) Technology Enablement Lead, you will be responsible for designing the analytics strategy, building pipelines, enabling visualization capabilities, and delivering actionable insights to inform strategic sourcing and procurement decisions. **Roles & Responsibilities:** - **Data & Analytics Strategy:** - Develop and implement enhancements aligned with broader S2C strategic objectives and enterprise data strategy. - Define and manage a data and analytics roadmap, prioritizing dashboards, AI/ML models, APIs, and data products. - Track value delivery through KPIs such as cycle-time reduction, supplier risk mitigation, savings enablement, and user adoption. - **Data Engineering & Integration:** - Build and manage pipelines into data lakes/lakehouses, integrating ERP, CLM, SRM, and external data sources. - Code in SQL and Python for data modeling, cleansing, and transformations. - Implement robust data quality, governance, lineage, and audit controls. - **Visualization & Storytelling:** - Deliver executive-ready dashboards and insights using tools such as Power BI, Tableau, or Looker. - Establish visualization standards and KPIs to enable consistent decision-making. - Convert complex analyses into clear, compelling narratives for senior stakeholders. - **Advanced Analytics & GenAI:** - Apply GenAI tools for procurement use cases, including contract intelligence, supplier summaries, and clause analysis. - Build predictive and prescriptive models for demand forecasting, supplier risk, and cost optimization. - Leverage ML frameworks for experimentation, feature management, and human-in-the-loop governance. - **Digital Product Ownership:** - Own product vision, OKRs, and roadmap aligned to S2C/S2P and enterprise data strategy. - Maintain a single, prioritized backlog across pipelines, semantic models, APIs, dashboards, and GenAI. - Run discovery and define success metrics. - **Procurement & Supply Chain Domain Leadership:** - Partner with category managers to translate procurement and supply chain problems into data-driven use cases. - Support savings tracking, supplier diversity, ESG reporting, and risk analysis with data insights. - Improve supplier master data accuracy, classification, and taxonomy. - **Governance & Compliance:** - Ensure analytics pipelines comply with regulatory requirements. - Own audit documentation, lineage records, and inspection readiness. - Implement access controls, data minimization, and privacy standards. - **Stakeholder Engagement & Change Management:** - Act as a liaison between business and technical stakeholders. - Lead training, adoption, and enablement for self-service analytics capabilities. - Manage vendor relationships and ensure SLAs are met. - **Team Leadership:** - Mentor analysts, engineers, and BI developers. - Promote best practices in agile delivery, backlog management, and predictable outcomes. **Functional Skills:** **Must-Have Skills:** - Data Engineering - Visualization & Storytelling - GenAI & Analytics - Domain Knowledge - Governance & Compliance **Good-to-Have Skills:** - Technical Liaison Experience - Change Management - Data Science & AI **Soft Skills:** - Communication & Influence - Strategic Thinking - Collaboration - Adaptability - Problem Solving - Attention to Detail **Basic Qualifications:** - Btech/ MBA/ PHD - Minimum of 10 -12 years of relevant business and functional experience Amgen ensures equal opportunities for individuals with disabilities throughout the job application process, interviews, essential job functions, and other employment benefits and privileges. Accommodation requests are welcomed.,

As the Data Governance Platforms IT Lead at State Street, you will play a crucial role in providing technical leadership to build out the data governance platform, which includes implementing Collibra Data Intelligence Catalog, Data Quality, Data Privacy, and Data Entitlement. Your responsibilities will include: - Collaborating with other IT functions such as Cyber Security, Enterprise Architecture, and Network Infrastructure to design and deliver cohesive solutions - Working with technology partners like Collibra to understand product architectures and design implementation approach for State Street requirements - Creating and managing delivery roadmaps, tracking progress, and removing hurdles to achieve OKRs and milestones - Focusing on talent management and retention by coaching, mentoring, and guiding team members to create an engaged and growth-oriented team Core/Must Have Skills: - Solution Design and Delivery experience on Data Governance platforms such as Collibra, Information Governance Catalog, Data Quality tools, and data Privacy and Classification tools - Demonstrated experience in leading and delivering data health measurement and reporting solutions using cloud-based data engineering solutions like AWS, Azure, Databricks, Snowflake, and Tableau/PowerBI - Clear understanding of dependencies and support requirements from various IT functions - Excellent communication skills, proven Stakeholder Management, and strong executive presence - Fair understanding of Finance and Investment Management Industry, including Regulatory and Compliance requirements related to data management and operations Good To Have Skills: - Exposure to regulatory compliance like BCBS239 and ICCR This role is important to State Street as the Global Technology Services (GTS) function is vital to delivering data and insights to clients and driving the company's digital transformation. State Street is committed to creating a collaborative environment where technology skills and innovation are valued, offering an opportunity for top technical talent to join the team and deliver creative technology solutions. Join State Street if you want to grow your technical skills, solve real problems, and contribute to the next-generation financial services industry. State Street is dedicated to providing a great work environment with competitive benefits packages, flexible Work Programs, and development opportunities to help employees reach their full potential. (State Street is an equal opportunity and affirmative action employer.) (Job ID: R-770005),

As an experienced AI/ML Developer lead specializing in computer vision, you will be responsible for designing, developing, and deploying computer vision models and solutions for image and video analysis, object detection, and pattern recognition. Your strong background in machine learning and deep understanding of computer vision techniques will be essential for this role. **Key Responsibilities:** - Design and develop computer vision models for various applications, such as object detection, image segmentation, classification, and facial recognition. - Implement deep learning models using state-of-the-art algorithms and techniques. - Optimize models for performance and accuracy, deploying them in production environments. - Process and analyze large image and video datasets, including data preprocessing, augmentation, and annotation. - Collaborate with cross-functional teams to integrate computer vision solutions into broader AI and software products. - Stay updated with the latest research and advancements in computer vision and evaluate their practical applicability. - Debug, troubleshoot, and improve model performance and accuracy through rigorous testing and iterative optimization. - Develop tools and pipelines for the efficient handling of large-scale visual data. **Qualifications Required:** - Proficiency in Python; familiarity with C++ is a plus. - Extensive experience with deep learning libraries like TensorFlow, PyTorch, and Keras. - Proficiency with OpenCV, Dlib, and Scikit-image for image and video processing. - Strong skills in data preprocessing, augmentation techniques, and data annotation tools. - Familiarity with CNNs (e.g., ResNet, VGG), R-CNN, YOLO, Mask R-CNN, and other architectures specific to object detection and segmentation. - Experience with 3D computer vision techniques and frameworks like Open3D or PointNet is a plus. - Knowledge of model optimization techniques, such as quantization, pruning, and deploying models on edge devices. - Familiarity with cloud environments such as AWS (SageMaker). - Experience with RESTful APIs and building custom APIs for model deployment. - Proficient with Git for version control and comfortable working in collaborative development environments. This role also requires a strong knowledge in YOLO, 5+ years of experience in Machine learning, Deep learning, LLM's, NLP's and Chatbots, 2+ years of experience in video analytics, action recognition, and multi-object tracking, knowledge of reinforcement learning techniques as applied to computer vision tasks, familiarity with edge deployment frameworks like NVIDIA TensorRT, OpenVINO, or Coral, and a strong understanding of ethical considerations in AI applications.,

Role Overview: You are seeking a highly experienced and innovative Senior AI Engineer to join the rapidly expanding AI/ML team at CGI. With 7+ years of hands-on experience, you will play a crucial role in the end-to-end lifecycle of AI/ML solutions, from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. By collaborating closely with data scientists, product managers, and software engineers, you will drive the adoption of cutting-edge AI technologies across platforms. Key Responsibilities: - Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications. - Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments. - Work with large, complex datasets, perform data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference. - Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas. - Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization. - Partner closely with Data Scientists and Software Engineers to transition research prototypes into production-ready solutions, integrate AI models into existing products and platforms, and communicate complex AI concepts to technical and non-technical stakeholders. - Write clean, maintainable, and well-documented code, implement software engineering best practices within the AI/ML lifecycle, and implement robust monitoring for model performance, data drift, and system health in production. Qualifications Required: Must-Have Skills: - 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. - Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). - Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. - Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). - Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). - Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. - Experience with data preprocessing, feature engineering, and handling large datasets. Good-to-Have Skills: - Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.,

As a Security Engineer - Operations at Micron Technology, you will play a critical role in Information Security by providing effective layers of security to safeguard intellectual property. You will be part of a dynamic team focusing on Cyber Security Operations in Micron's IT Infrastructure & Operations. **Responsibilities And Tasks:** - Identify trends and drive requirements to enhance data loss prevention detection policies. - Work in 24x7 rotational shifts. - Engineer, configure, deploy, and maintain Firewall solutions. - Develop advanced alerts/reports for key stakeholders. - Upgrade security infrastructure to maintain current versions. - Keep patches up to date on security infrastructure. - Escalate issues to senior staff. - Resolve daily incident requests. - Maintain an audit review process for policy exceptions. - Fulfill daily service requests. - Participate in root cause analysis. - Troubleshoot with end users. - Be on call for quick response to and remediation of incidents. - Respond and participate in Critical incidents as part of an Emergency Response Team (ERT). **Qualifications And Experience:** - Hands-on experience with tools and technologies like Firewall (Cisco, Palo Alto), Web Proxy (Zscaler preferred), SSL VPN (Cisco AnyConnect, Palo Alto Global Protect), Intrusion Prevention System (IPS) appliances, IPSEC tunnel configuration, Stateful inspection, Remote Access solutions, and more. - Good understanding of security concepts such as access controls, identity management, data classification, and loss prevention. - Minimum 1 year of experience in IT infrastructure related to layered security products. - Familiarity with Network DLP technologies, IPS appliances, cloud-based web proxy, firewalls, VPNs, PKI, SIEM platforms, and more. - Excellent experience with Regular Expressions and web technologies. - Strong communication, decision-making, and negotiation skills. - B.Tech degree in Computer Science, Computer Engineering, or equivalent work experience. Micron Technology, Inc. is a global leader in memory and storage solutions, driving innovation to enrich lives worldwide. With a focus on technology leadership and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products. Join us in fueling the data economy and enabling advancements in AI and 5G applications across various platforms. If you are interested in being part of our team, visit micron.com/careers for more information on available opportunities.,

You will be joining Workato, a company that transforms technology complexity into business opportunities by helping businesses globally streamline operations through connecting data, processes, applications, and experiences. Workato's AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of all sizes to unlock new value and lead in today's fast-changing world. As an experienced and exceptional AI / Machine Learning Engineer at Workato, your role will involve the design, development, and optimization of AI and Machine Learning products to deliver exceptional user experiences. The ideal candidate will possess strong software engineering skills combined with deep knowledge of machine learning systems. Your key responsibilities will include: - Designing and implementing advanced AI/ML systems focusing on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures. - Building conversational AI interfaces for multi-turn customer interactions, maintaining context, and escalating to human agents when needed. - Developing production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale. - Implementing feedback loops and continuous learning systems to improve model performance over time. - Creating analytics dashboards and reporting tools to track automation effectiveness and measure key performance indicators. - Leading technical initiatives for AI system integration into existing products and services. - Collaborating with data scientists and ML researchers to implement and productionize new AI approaches and models. Qualifications / Experience / Technical Skills required: - Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - 5+ years of backend software development experience using modern programming languages such as Python, Golang, or Java. - Demonstrated experience in building production AI systems including chatbots, virtual assistants, and automated support agents using LLMs. - Expertise in natural language understanding, intent classification, and building knowledge bases with dynamic content retrieval. - Experience in implementing multi-channel support automation and working with databases like PostgreSQL and ClickHouse. - Strong understanding of software architecture, scalability, security, and system design. - Experience with Docker, Kubernetes, cloud environments (AWS, GCP, Azure), and A/B testing frameworks. Soft Skills / Personal Characteristics: - Strong communication skills to explain technical concepts effectively. - Collaborative mindset for cross-functional teamwork. - Detail-oriented with a focus on quality. - Self-motivated and able to work independently. - Passion for solving complex search problems. If you are passionate about AI and machine learning, possess the required qualifications and skills, and are looking to join a dynamic and innovative team at Workato, we encourage you to submit your application. Workato looks forward to getting to know you!,

As a Data Scientist at USP, you will play a crucial role in driving innovations and delivering digital solutions by utilizing your skills in advanced analytics, including predictive modeling, machine learning, and natural language processing. Your primary responsibilities will include: - Utilizing exploratory data analysis techniques to spot anomalies, understand patterns, test hypotheses, and check assumptions. - Applying various machine learning techniques for classification or regression tasks to drive business impact in an agile manner. - Employing natural language processing techniques to extract information and enhance business workflows. - Interpreting and articulating results clearly to audiences with varying technical backgrounds. - Collaborating with data scientists, data engineers, and the IT team to ensure successful project delivery. Qualifications required for this role include: - Bachelor's degree in a relevant field such as Engineering, Analytics, Data Science, Computer Science, or Statistics, or equivalent experience. - For Senior Data Scientist role: 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing. Proficiency in Python and packages like pandas, numpy, scikit-learn, etc., as well as SQL. - For Lead Data Scientist role: 8-10 years of hands-on experience with technical proficiency in Python, SQL, and CNN/RNN models. Additionally, experience with data extraction, scraping, and mentoring team members is required. Desired preferences include a Master's degree in Information Systems Management, Analytics, Data Engineering, or related fields, experience in scientific chemistry nomenclature or life sciences, and proficiency in using GenAI concepts with graph data. You should also have the ability to explain complex technical issues to a non-technical audience, handle multiple projects concurrently, and make tough decisions when necessary. USP offers a range of benefits to ensure your personal and financial well-being, including paid time off, healthcare options, and retirement savings. Kindly note that USP does not accept unsolicited resumes from third-party recruitment agencies.,

As an Analyst reporting to the Import & SCS Trade Compliance Manager, your primary function will be to act as the main point of contact for Indian legal entities. You will play a crucial role in the EMEAI Trade Compliance team and collaborate with regional stakeholders to handle strategically important processes and ensure day-to-day business compliance. Key Responsibilities: - Work closely with stakeholders for Export control, import compliance, Supply chain security, and FTA & Origin related topics. - Collaborate effectively with EMEAI Trade Compliance Team & Managers on origin topics, preferential and non-preferential rules of origin, and ensuring compliance with export regulations. - Initiate, conduct, and monitor import reconciliation process, AEO program, ECCN validation, ICP, and HTS classification for Indian legal entities. - Support licensing and process mapping projects for export control function, GTM system, compliance programs, internal audits, system data maintenance, and customs broker coordination. - Conduct training sessions for internal customers to enhance awareness of trade regulations and ensure end-to-end compliance in international transactions. Qualifications Required: - Minimum 3-5 years of progressive experience in Trade Compliance with leadership or project ownership. - Bachelors degree in international Trade, Supply Chain, Law, or related field. - Strong command of HS classification, customs valuation, origin determination, and trade documentation processes. - Excellent analytical, organizational, and communication skills. - Proactive problem-solving mindset with the ability to manage multiple global stakeholders and drive process improvement initiatives. - Proficiency in SAP and/or Oracle is a plus. - Strong interpersonal and communication skills with a good command of English. - Excellent organizational skills, ability to meet tight deadlines, multi-task effectively, and handle projects efficiently. - Proficient in Microsoft Office products; Word, PowerPoint, and Excel. Please note your flexibility on working hours due to project requirements and your commitment to maintaining deep integrity and attention to detail in your work.,