1,845 data labelling jobs in India.

... seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into https://jobeax.com/link/49uyUi7EOndfzpBw ...

... automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. Candidate data is processed in accordance with applicable data protection and employment laws as well as As part of the hiring process, Hitachi Energy conducts pre-employment ...

... Designing, building, and operating batch and streaming data pipelines - Developing high‑throughput, low‑latency data processing systems - Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads - Building and maintaining cloud‑native data solutions on AWS - Using dbt for data transformation, ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... Responsibility for supporting ongoing information security compliance initiatives, including policies and standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the review and approval of technology in relation to information security risks, including ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

... Experience in data migration projects Exposure to on-prem + cloud environments Strong SQL proficiency (should handle basic queries comfortably) Clear understanding of data engineering concepts Experience with: Practical coding ability About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

... systematic procedures to validate model performance and accuracy. Perform feature engineering through extracting meaningful features from measured and/or derived data Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. Analyze large datasets to identify trends, patterns, ...

... intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to drive measurable data growth, improve data coverage, and support strategic onboarding initiatives. If you enjoy solving complex data challenges, building strong relationships, and ...

... Permanent Hybrid Work Language: Fluent Business English As a Data Engineer, you will play a pivotal role in designing, building, and maintaining highly scalable data management systems that enable Nespresso's data-driven decision-making. You will integrate diverse data sources into a unified platform, ensuring data accessibility, ...

... systems.- Develop and maintain documentation for database architecture, processes, and procedures.- Participate in incident response and root cause analysis for database-related https://jobeax.com/link/7NJ8ZNIfjPTQ4sPG : - 7+ years of experience in database administration.- Expertise in SQL Server; experience with NoSQL databases ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

... dashboards and automated reports using tools like Power BI, Excel, and JIRA. - Automate data collection and reporting processes to minimize manual effort and enhance data accuracy. Facilitate data-driven decision-making across teams, supporting strategic initiatives. Work with the Operations team to identify gaps in data processes ...

... patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...