5 Data Models Jobs nearby Mysore

As a MERN stack developer, your role involves binding UI elements to JavaScript object models and creating RESTful services using Node.js. You will work in a cross-functional team to deliver a complete user experience. Your expertise in MongoDB, Express, Node.js, and React is essential for this role. Key Responsibilities: - Create Unit and Integration tests to ensure the quality of code - Wear many hats and learn new technologies quickly - Understand and proficiency in REST APIs - Knowledge of Git Repository and Jira - Integration of data storage solutions including RDBMS and NoSQL DB - Ideate software solutions in collaboration with development teams and product managers - Develop and manage databases and applications - Test software for responsiveness and efficiency - Implement security and data protection settings - Write technical documentation - Collaborate with data scientists and analysts to enhance software Qualifications Required: - Proven experience in front and back-end development using MongoDB, Express, Node.js, and React - Proficiency in MongoDB, Express, React.js, and Node.js - Familiarity with Git Repository and Jira - Understanding of REST APIs - Experience with integration of data storage solutions such as RDBMS and NoSQL DB If any additional details about the company are provided in the job description, please share them.,

As an experienced Product Manager - UI/UX with expertise in AI-driven design principles, your role at MADTECH.AI will be highly collaborative and technical. You will lead the enhancement of the user experience for the AI-powered B2B SaaS platform by combining advanced UI/UX design knowledge with technical understanding of AI technologies. Your work will involve collaborating with cross-functional teams to drive innovation through cutting-edge design. Key Responsibilities: - AI-Enhanced Design Strategy: - Lead the integration of AI into the design process using data-driven design, AI-powered personalization, and predictive analytics for optimizing user experiences. - Collaborative Product Management: - Work closely with AI and data science teams to incorporate intelligent features like natural language processing (NLP) and machine learning (ML) into the design process. - User-Centered Research & Analysis: - Conduct comprehensive user research, including AI-assisted sentiment analysis and heatmap tracking, to inform the design strategy. - Prototyping with AI Insights: - Utilize advanced AI-based prototyping tools to simulate user interactions and incorporate user feedback and behavioral data into design iterations. - Iterative Design Process: - Leverage AI tools for continuous testing, including A/B testing and multivariate testing, to refine user flows and high-fidelity mockups based on real-time data. - Cross-Functional Collaboration: - Partner with AI engineers, data scientists, and QA teams to ensure design solutions align with technical capabilities of AI features. - AI-Driven Personalization: - Develop and implement AI-driven UI elements that personalize user experience based on data insights to improve user engagement and retention. - Data Analytics & User Testing: - Use AI tools for advanced usability testing and analyze data to optimize the UI/UX design. - AI Ethics & Accessibility: - Ensure AI features adhere to ethical standards, enhance transparency, inclusivity, and comply with WCAG guidelines for accessible design. - Documentation & Reporting: - Present data-backed design insights to stakeholders and utilize AI analytics dashboards to explain user behavior and design impact effectively. Qualifications and Skills: - Bachelors or Masters in Engineering, IT, or related field. - Advanced coursework or certifications in AI, machine learning, or data science are a plus. - 10-15 years of experience in UI/UX design with at least 4 years working on AI-driven products, preferably in B2B SaaS or enterprise-level applications. - Proficiency in Figma and experience with design tools like Sketch, Adobe XD, and InVision. Experience with AI-based design tools is an added advantage. - Deep knowledge of user research methodologies, usability testing, and collaboration with AI specialists, data scientists, and engineers. - Strong communication skills for presenting AI-driven design insights and strategies to stakeholders clearly. - Understanding of AI models and their integration into UX/UI, along with familiarity with front-end development technologies. - Knowledge of AI ethics, data privacy, and regulatory standards in AI-driven product design. - Willingness to work from Mysore/Bangalore office.,

As a Senior Platform Engineer in the AI/ML infrastructure and deep-tech industry, your role will be crucial in designing and scaling the foundational systems that power AI products. If you are passionate about building robust, efficient, and innovative ML infrastructure, we would love to have you join our core infrastructure team. You will be responsible for designing, building, and operating scalable ML & data infrastructure across on-prem and cloud environments (AWS/Azure/GCP). Your tasks will include: - Designing, building, and operating scalable ML & data infrastructure on on-prem and cloud platforms. - Setting up and automating multinode Kubernetes + GPU clusters, ensuring their health and cost-efficiency. - Creating CI/CD & MLOps pipelines for various workflows using tools like Kubeflow, Flyte, and Ray. - Collaborating with ML engineers to troubleshoot CUDA/K8s issues before production. - Advocating for IaC (Terraform/Pulumi) and config-as-code (Ansible) standards. - Mentoring developers on platform best practices and fostering a platform-first mindset. Qualifications Required: - 5+ years of experience in DevOps/SRE/Platform engineering, with at least 2 years working on ML infrastructure at scale. - Proficiency in Docker, Kubernetes, Helm, and other Kubernetes-native tooling. - Familiarity with distributed GPU scheduling, CUDA drivers, and networking. - Strong skills in Terraform/Pulumi, Ansible, and scripting languages like Bash/Python. - Experience in operating data lakes, high-availability databases, and object stores. - Knowledge of ML orchestration tools like Kubeflow, Flyte, and model registries. - Working understanding of RAG, LLM finetuning, or agentic frameworks is advantageous.,

Role Overview: As a Senior Data Engineer at iSOCRATES, you will have a pivotal role in uncovering patterns in data sets and creating algorithms to enhance the usability of raw data for the organization. Your position necessitates a broad array of technical competencies, encompassing a profound understanding of SQL database design, proficiency in multiple programming languages, and adeptness in team management. Your primary responsibilities will include devising and implementing production data pipelines within a big data framework, managing data migration initiatives, crafting clean code following Test-Driven Development (TDD) principles, and innovating contemporary data architecture strategies to align with business goals. Furthermore, you will be instrumental in defining departmental priorities, objectives, and goals, as well as fostering collaborations between the Data Engineering department and other divisions within iSOCRATES, as well as external stakeholders. Key Responsibilities: - Design and construct production data pipelines spanning from data ingestion to consumption within a big data environment - Revamp existing legacy code to enhance performance metrics - Oversee the technical facets of data migration activities from on-premises to cloud infrastructures - Author clean and iterative code adhering to TDD standards - Utilize continuous delivery methodologies for deploying, supporting, and managing data pipelines - Innovate and manage contemporary data architecture practices to fulfill business objectives - Develop data models and assess various modeling methodologies - Integrate data quality considerations into day-to-day tasks and delivery processes - Establish departmental priorities, objectives, and goals, and foster service-oriented relationships Qualifications: - Bachelor's or Master's degree in computer science, engineering, or a related field - 4 to 6 years of prior experience in data and analytics - At least 3 years of hands-on experience with MSSQL, Oracle, or MySQL - Profound expertise in SQL and NoSQL databases - Proven track record in executing on-premises to cloud data migration projects - Proficiency in constructing production data pipelines using Python, AWS, or Snowflake - Familiarity with AWS data and analytics services like Redshift, S3, Athena, Glue, and Snowflake - Extensive knowledge of data warehousing, data modeling, ETL, and ELT processes - Holding an AWS Certified Data Analytics Specialist or AWS Certified ML Specialist certification would be advantageous - Exposure to Media & Marketing sectors is considered a plus - Familiarity with GCP and visualization tools would be beneficial - Possess structured thinking abilities with a penchant for data-driven decision-making - Strong aptitude for problem-solving and client interactions - Excellent communication skills and a collaborative team player - Capability to tackle intricate challenges and deliver results under constraints - Willingness to work during late EMEA or ET hours - Openness to working from the Mysore or Bangalore location,

iSOCRATES is a Global Leader in MADTECH Resource Planning and Execution(TM), providing Strategy and Operations Consulting and Managed Services for Marketing, Advertising, and Data technologies. The company is known for its specialists who deliver reliable and affordable solutions 24/7/365, focusing on saving partners money and time while ensuring transparent and accountable performance. Lead Data Scientist at iSOCRATES: As a Lead Data Scientist at iSOCRATES, your role involves spearheading the Data Science team, focusing on defining, designing, and analyzing audience, campaign, and programmatic media trading data. You will collaborate with partner-focused Managed Services and Outsourced Services, working across various media channels to drive impactful outcomes. Key Responsibilities: - **Team Leadership & Management**: - Lead and mentor a team of data scientists in developing data-driven solutions for media and marketing campaigns. - **Advanced Analytics & Data Science Expertise**: - Apply statistical and Big Data methods to design analytics solutions and optimize economic outcomes. - Utilize modeling techniques such as propensity modeling, Media Mix Modeling, and Bayesian statistics. - **Generative AI & NLP**: - Implement Generative AI and NLP techniques to enhance data modeling and analysis processes. - **Data Architecture & Management**: - Architect and manage dynamic data systems for effective integration of audience, pricing, and contextual data. - Oversee the management of DSPs, SSPs, and DMPs integral to the ad-tech ecosystem. - **Cross-Functional Collaboration**: - Work closely with various teams to ensure seamless data quality and predictive outcomes. - Design and deliver actionable insights and reporting tools for internal teams and business partners. - **Predictive Modeling & Optimization**: - Develop predictive models to drive programmatic optimization and analyze campaign performance. - **Data Collection & Quality Assurance**: - Design, collect, and manage data ensuring high-quality standards and efficient storage systems. Qualifications: - Masters or Ph.D. in Statistics, Engineering, Science, or Business. - 8 to 10 years of experience in data science, predictive analytics, and digital analytics. - Proficiency in tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. - Strong analytical skills with expertise in logistic regression, customer segmentation, and predictive analytics. This role offers an exciting opportunity to lead data science initiatives in the digital media and advertising industry, requiring strong technical skills, leadership abilities, and a passion for innovation. If you are ready to drive impactful, data-driven solutions and thrive in a fast-paced environment, we encourage you to apply.,

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data science Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data scientist. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you! Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

Job Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

 Capgemini Looking for Azure Data Engineer for PAN INDIA Location  Key Responsibilities :   Hands-on experience in Azure data bricks & Pyspark to develop ETL pipelines. Working experience in ETL testing including Master Data Management, Data Completeness Data Cataloging, Data Leverage, and Data Quality for various data feeds coming from the source. You will be responsible for developing, maintaining, and optimizing data pipelines and workflows using Databricks Should have experience working on complex data architecture Experience in working for a healthcare client is a plus. Should have worked in the onsite/offshore model earlier. Communicate progress and other relevant information the project stakeholders  Professional Attributes : Good Analytical SkillsExcellent Written and Verbal Communication  Kindly share your updated Resume along with below Information Total Exp Databricks Exp Current CTC Expected CTC Any Offer In Hand (Kindly mention the offered amount) Notice Period/Last working Day Current Location  Kind Regards Talent Acquisition Team Capgemini

Key Responsibilities: Design, develop, implement, support, and maintain Informatica MDM solutions that align with business requirements and data governance policies Configure and customize Informatica MDM hubs Develop data models, matching rules, survivorship rules, and validation processes within the Informatica MDM platform Create and optimize data integration workflows for loading, cleansing, profiling, enriching, and synchronizing master data Implement data quality rules and data standardization processes Design and develop batch and real-time interfaces between MDM and source/target systems Troubleshoot and resolve complex data integration and MDM issues to ensure data integrity and performance Collaborate with data architects to design and implement data governance frameworks Work with business users to gather requirements and translate them into technical specifications Document technical designs, processes, and procedures Create and maintain technical documentation for MDM implementations Perform code reviews and ensure adherence to best practices Provide technical guidance and mentorship to junior team members Stay current with latest developments in Informatica products and MDM technologies  YOU HAVE: A Bachelors or Masters degree in Computer Science, Engineering or a related field. Previous experience in or with 8+ years experience as a Software Engineer, Data Engineer, or Data Analyst 5+ years of experience in data management with at least 3 years of hands-on experience with Informatica MDM Strong understanding of Informatica MDM architecture and components (Hub, Manager, Administrator, Operational UI) Proficiency in Informatica MDM configuration including data models, hierarchies, matching rules, and survivorship rules Experience with Informatica PowerCenter or Informatica Cloud for data integration with MDM Working knowledge of Informatica Data Quality (IDQ) and Address Doctor Strong SQL skills and experience with cloud (Snowflake) and relational databases (SQL Server) Experience with web services and API integration (REST, SOAP) Understanding of data modeling concepts (dimensional modeling, entity relationship diagrams) Knowledge of XML, XSLT, and Java/JavaScript for MDM customization Experience with agile development methodologies Strong problem-solving and analytical skills Excellent communication skills and ability to translate business requirements into technical solutions

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

As a member of the Model Risk Management and Validation Group (MRM&V) team, your role will involve performing independent analytical reviews and validations of various models. Your responsibilities will include: - Performing independent review and model validation of Artificial Intelligence and Machine Learning (AI/ML) models. - Conducting model architecture reviews, theoretical soundness assessments, and performance evaluations. - Writing validation reports containing and explaining the analyses performed along with their results. - Presenting the reports and findings to various review/approval committees and other modeling teams. - Developing creative approaches to effectively communicate complicated concepts, model validation results, and analyses to stakeholders. - Participating in peer brainstorm review sessions and assisting other MRM&V members in problem-solving. - Working closely with cross-functional teams, including senior model validators, model developers, risk officers, and business units, to ensure models are effectively integrated into business decision-making processes. - Representing the Model Risk Management team in interactions with regulatory agencies. Work Location: Bangalore/Hyd/Chennai Qualifications: - 2 or more years of experience in model development or validation. - Familiarity with essential quantities techniques used in financial models. - Quantitative programming skills (e.g., SAS/SQL, Python, R, etc.). - Knowledge of Machine Learning algorithms in model development or validation is a plus. - Very good communication skills (both verbal and written), solid project management skills, and the ability to multitask. - Good business knowledge and familiarity with consumer/small business/commercial banking products, operations, and credit processes. - Experience in profitability models will be a plus. - Prior experience in delivering both written and verbal communications to a senior management audience and developing constructive relationships with a wide range of stakeholders.,

In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. **Key Responsibilities:** - Respond effectively to the diverse perspectives, needs, and feelings of others. - Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Use critical thinking to break down complex concepts. - Understand the broader objectives of your project or role and how your work fits into the overall strategy. - Develop a deeper understanding of the business context and how it is changing. - Use reflection to develop self-awareness, enhance strengths, and address development areas. - Interpret data to inform insights and recommendations. - Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Qualifications Required:** - 2-6 years of experience - Location: Bangalore PwC US, Risk Analytics Center of Excellence is an extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. The CoE comprises risk analytics professionals with stellar quantitative pedigree from premier institutions and industry certifications in CFA, FRM, PRM, etc. As an integral part of PwC US R&R, the Risk Analytics CoE drives risk analytics engagements, opportunity pursuits, and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning, and Deep Learning. **Additional Company Details:** PwC is one of the most prestigious professional services firms globally, serving as the auditor to nearly half of the world's largest banks. PwC US Risk and Regulatory (R&R) comprises a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry-leading practices and has deep knowledge of regulatory expectations. Risk Analytics CoE at PwC focuses on providing risk analytics services to global banks, investment firms, and asset management entities through its team of professionals with proven experience in risk modeling and analytics at reputed financial institutions and consulting firms.,

As a skilled and experienced Agentic Data Engineer at Sustainability Economics.ai in Bengaluru, Karnataka, you will be responsible for designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. Your role will involve building adaptive data pipelines, optimizing data models, integrating AI-driven components, and working with cross-functional teams to turn business requirements into technical solutions. Here's what you can expect in this role: Key Responsibilities: - Design, develop, and maintain AI-driven, agentic data pipelines and intelligent end-to-end architectures. - Build and optimize data models and schemas to adapt to evolving business needs. - Integrate AI-driven components and advanced data workflows into production systems. - Implement scalable pipelines on AWS using services such as S3, Glue, EMR, Lambda, and DynamoDB. - Develop and manage ETL/ELT pipelines, integrating third-party APIs and diverse data sources. - Apply best practices in data governance, lineage, and observability with modern monitoring tools. - Optimize SQL queries, storage, and throughput to improve efficiency across data systems. - Document pipelines, data flows, and transformations for clarity and maintainability. - Explore emerging tools in agentic systems, orchestration frameworks, and AWS for continuous improvement. Key Requirements: - Bachelors degree in Computer Science, Data Engineering, or a related field. - Minimum of 2 years of experience in data engineering with exposure to AI-driven or agentic systems. - Proficiency in AWS services like S3, Glue, EMR, Lambda, DynamoDB, and Postgres. - Hands-on experience in data scraping, data modeling, schema design, and relational database concepts. - Strong knowledge of SQL, including performance tuning and query optimization. - Prior experience in integrating APIs and AI components into data pipelines. What You'll Do: - Build adaptive data pipelines that can self-optimize and scale with business needs. - Develop systems supporting multimodal data (text, geospatial). - Enable real-time transformations in pipelines using agentic architectures. - Contribute to the evolution of agentic databases and autonomous data workflows. What You Bring: - Passion for AI, agentic architectures, and next-gen data systems. - Strong problem-solving skills and a drive for innovation. - Ability to collaborate across engineering, product, and data science teams. - Agile mindset, adaptability, and eagerness to learn emerging technologies. In summary, at Sustainability Economics.ai, you will have the opportunity to work on a first-of-its-kind AI + clean energy platform, collaborate with a mission-driven team, and contribute to the intersection of AI, design, and sustainability.,

Role Overview: Yubi is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. As a Senior Data Scientist at Yubi, you will be responsible for building cutting-edge Credit Risk Machine Learning platform. Your role involves designing, developing, and deploying machine learning models to assess credit risk with high accuracy and compliance with regulatory requirements. Key Responsibilities: - Build and develop credit risk/fraud models to assess risk with high accuracy and explainability - Lead the development of a machine learning platform for clients to customize their risk models - Align data solutions with business objectives and technical constraints - Work closely with cross-functional teams for product lifecycle management - Monitor model performance, maintain risk management protocols, and ensure regulatory compliance - Stay updated on industry trends, regulations, and emerging technologies - Provide mentorship and guidance to junior data scientists and engineers Qualification Required: - In-depth understanding of machine learning algorithms and their application to risk - Expertise in statistical analysis and data modeling techniques - Experience in designing, developing, and delivering data products - Strong proficiency in Python, knowledge of PySpark, and cloud platforms like AWS - Proficiency in developing backend microservices using Fast API and working knowledge of MLOps - Good to have experience with NLP techniques Additional Details: Yubi, formerly known as CredAvenue, is revolutionizing the global institutional debt market through technology. They offer a two-sided debt marketplace for investors and corporates, along with various platforms like Yubi Credit Marketplace, Yubi Invest, Financial Services Platform, Spocto, and Accumn. Yubi has onboarded more than 17000 enterprises, 6200 investors, and lenders, with a fundraising round of $137 million in 2022. Backed by marquee investors, Yubi values its people as the core of the business and aims to create a purposeful impact in the debt market.,

Role Overview: The Product Operations Business Intelligence (BI) team at Cisco is at the core of the Supply Chain organization, focusing on utilizing data for real-world decision-making. As a Data Scientist in this team, you will contribute to solving complex data problems and designing AI solutions to drive large-scale transformation programs within the supply chain. Key Responsibilities: - Partner with business units and supply chain stakeholders to understand analytics needs and develop scalable AI solutions. - Design, develop, and implement intuitive models and AI solutions. - Lead supply chain transformation analytics, from POCs to production solution deployment. - Collaborate with architects, business partners, and IT to define use cases and design data-driven capabilities for tangible business outcomes. Qualifications Required: - Bachelors or masters degree in computer science, Data Science, AI/ML, or related field. - 6+ years of experience in data science or applied machine learning roles, preferably in supply chain, operations, or manufacturing domains. - Hands-on experience with Large Language Models (LLMs), Transformer architectures, and fine-tuning models to domain-specific needs. - Experience in generative AI models using frameworks like Hugging Face, LangChain, Lang Smith, Lang graph, or OpenAI APIs, Llama index. - Proficiency in building AI Agents and advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for Gen AI solutions. Additional Company Details: Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era and beyond. With a history of fearless innovation spanning 40 years, Cisco creates solutions that empower the collaboration between humans and technology in physical and digital worlds. The company's solutions offer unparalleled security, visibility, and insights across the entire digital footprint. Cisco fosters a culture of experimentation and collaboration, providing vast opportunities for growth and development on a global scale. Cisco believes in teamwork and empathy-driven collaboration to drive impactful solutions worldwide. Cisco is a place where your contribution matters, and the possibilities are endless.,

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.,

As a Data Engineer, your role will involve: - Conducting tests on data pipelines and evaluating results against data quality and performance specifications. - Applying and optimizing data models for efficient storage, retrieval, and processing of large datasets. - Communicating and explaining design/development aspects to customers. - Estimating time and resource requirements for developing/debugging features/components. - Participating in RFP responses and solutioning. - Mentoring team members and guiding them in relevant upskilling and certification. Qualifications required: - Bachelors or masters degree The company also values strong development experience in Snowflake, Cloud (AWS, GCP), SCALA, Python, Spark, Big Data, and SQL. You will be expected to work closely with stakeholders, including product managers and designers, to align technical solutions with business goals. Additionally, you will be responsible for maintaining code quality through reviews, making architectural decisions that impact scalability and performance, and performing Root Cause Analysis for any critical defects. It is essential to have expertise in Agile, Waterfall Program/Project Implementation and manage strategic and tactical relationships with program stakeholders. In this role, you will need to successfully execute projects within strict deadlines while managing intense pressure. Good understanding of SDLC (Software Development Life Cycle) is a must. You will also identify potential technical risks and implement mitigation strategies. Excellent verbal, written, and interpersonal communication abilities, coupled with strong problem-solving, facilitation, and analytical skills are highly valued. Cloud Management Activities are also expected, including a good understanding of cloud architecture/containerization and application management on AWS and Kubernetes, as well as an in-depth understanding of CI/CD Pipelines and review tools like Jenkins, Bamboo/DevOps. Demonstrated skills in adapting to evolving work conditions and fast-paced challenges will be advantageous.,