24,058 bsnl electronic data entry jobs in India.

... Stack : - AI/GenAI : LLMs, RAG, Agentic AI.- Data Architecture : Data Modeling, Data Lakes, Data Warehousing.- Cloud Platforms : AWS (preferred), Azure, or GCP.- Data Platforms : Databricks, Snowflake, etc.- Databases : PostgreSQL, MySQL, NoSQL, Vector Databases.- Data Engineering : ETL/ELT, Streaming Data, Kafka.- Programming ...

... Develop GenAI applications using models like GPT, Gemini, and LLaMA.- Implement RAG, vector search, prompt orchestration, and model evaluation.- Partner with data scientists to productionize POCs.3. Data & Platform Engineering : - Build distributed data pipelines (Python, PySpark).- Develop APIs, SDKs, and integration layers ...

... Supply Chain & Planning Technology and collaborates closely with global engineering, operations research, and business analytics teams, and with the broader Data Science Center of Excellence to elevate discipline standards enterprise-wide. WHO WE ARE LOOKING FOR We are looking for a Senior Data Scientist who combines deep ...

... Data Analytics Associate, you will have the opportunity to utilize your expertise in Python, Power BI, SQL, Data Analytics, MS-Excel, Data Science, Tableau, Data Cleaning, Data Analysis, Data Engineering, Data Interpretation, Data Manipulation, and Data Preparation. Your role will be crucial in driving data-driven decisions ...

Assistant Manager – HR Operations & Master Data Management (ETP) Location: Chennai Experience: 7–10 Years Band: BPO 4 About the Role We are hiring an experienced Assistant Manager – HR Operations & Master Data Management to oversee accurate and timely employee master data administration across HR, Payroll, Timekeeping and ...

... data discrepancies, perform manual corrections, and ensure timely resolution of identified issues. - Reconcile HR, payroll, timekeeping, and benefits-related data to prevent downstream processing errors. - Identify recurring data issues and support process improvements to enhance data accuracy and operational efficiency. ...

... gather and analyze data from various sources 2. Develop and maintain data models and visualizations using tools like Power BI and Tableau 3. Perform advanced data analysis to identify trends, patterns, and insights 4. Build and maintain databases and data pipelines to ensure data accuracy and consistency 5. Create reports ...

... seasoned Senior Data Engineer to architect and scale our next-generation data platforms. In this role, you will lead the design and implementation of robust data pipelines, ensuring high availability and performance of our analytical ecosystem. You will collaborate closely with cross-functional product teams, data scientists, ...

... https://jobeax.com/link/yIgcIlBY7qztvAQp You'll Do : - Select features, build, evaluate, and optimize classifiers using advanced machine-learning techniques.- Conduct data mining using state-of-the-art methods, frameworks, and tools.- Integrate third-party data sources to enhance company datasets when required.- Refine data-collection ...

Medtronic seeks a Senior IT Supervisor to lead data science and AI development initiatives within the enterprise hyperautomation team. This hands-on technical leadership role combines AI solution design, team mentoring, and project delivery to address complex business challenges across the organization. Responsibilities ...

... Develop necessary pipelines to ingest data into the Datalake and perform required transformations. Requirements What you will bring along: - Proven experience in data engineering with expertise in designing and implementing scalable data architectures. - Strong experience with ETL processes, data modeling, and data warehousing ...

... experienced GCP Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The role involves building and maintaining data pipelines, data models, and analytics platforms using GCP, dbt, and Apache https://jobeax.com/link/Wgq5r6iEK4wlDBf2 : - Design, develop, and maintain scalable data pipelines ...

... integrations, and secure, efficient data pipelines- Define data quality rules and metrics, align accountable owners, and drive priority issues to resolution- Lead Group data operations, aligning Group, divisional, functional, and enterprise data teams to address cross-functional dependencies- Represent Magna Electronics in corporate ...

... CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for code, data, and model lifecycle management. - Implement monitoring, logging, and alerting for Databricks workloads using native and third-party tools (e.g., Azure Monitor, AWS CloudWatch, Datadog). - Optimize Databricks cluster performance and cost, including ...

... in Data Science.- 5+ years of experience with Databricks products.- Strong hands-on Python development experience.- Proven experience building and deploying Data Science and Machine Learning solutions on Databricks.- Hands-on experience with Databricks Apps, Jobs/Workflows, Pipelines, MLflow, Unity Catalog, and Model Serving ...

... frameworks. - Experience with vector databases such as Qdrant, Pinecone, Weaviate, or Databricks Vector Search. - Experience with Kafka, MLflow, Unity Catalog, Databricks Mosaic AI, or model-serving platforms. - Experience building data quality, lineage, governance, and data/AI observability frameworks. - Strong understanding ...

... Public Markets Office of COO is seeking a highly motivated individual to join the Mumbai team and work closely with the Investment Management (IM) lead for Market Data Strategy & Oversight. This role will serve as a central coordination point for onboarding market-data vendors used across MSIM, managing requests from intake ...

Johnson & Johnson seeks a Senior Principal Data Scientist to lead strategy and scale reusable machine learning, generative AI, optimization, and real-world data capabilities across Global Development. The role directs cross-functional programs, platforms, and governance to strengthen clinical operations, feasibility, patient ...

... environments, testing, and deployment.- Understanding of version-controlled data development, CI/CD, data quality validation, and production release management.4. Data Integration and Engineering :- Experience integrating Salesforce and other enterprise systems with analytical data platforms.- Knowledge of Salesforce objects ...

... ensuring their needs are supported through effective data solutions.- Contribute to and adhere to established data governance and security practices, including metadata management, data quality frameworks, and data cataloging, to promote trust and reliability.- Enable business functions with clean, structured data that supports ...