1,960 data scanning jobs in India.

... EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY ...

... automated training, evaluation, and deployment (Azure preferred). Establish governance frameworks for ethical and compliant AI development. Mentor and upskill data science teams on emerging technologies and best practices. 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects. - Expertise ...

... frameworks for consumption of machine learning models at scale. - Perform feature engineering through extracting meaningful features from traditional and alternate data sources. - Mentor team of data scientists - Proficiency in Python, SQL, AWS / GCP / Azure - Bachelor's / Master's degree in mathematics, Statistics, Economics, ...

... dictionaries, mapping specifications, interface contracts, test datasets and data-quality documentation. Support performance tuning, partitioning, indexing, data retention, archival and privacy-aware data handling. Minimum 7 years of experience in data engineering, ETL/ELT development, data warehousing, data platform engineering ...

Maxgen Technologies Pvt ltd is an it company based in Ahmedabad Gujarat .Engineering and IT freshers will get data analyst internship and power bi program. What Services we are offering Online or offline program. live project in internship. hybrid mode internship. college project for interns.

... Information Retrieval, Semantic Search, Recommendation services (on top of Elasticsearch also leveraging LLMs/Embeddings and GenerativeAI) Large scale distributed data processing (based on Apache Spark / Scala) Streaming data processing (based on Google DataFlow/ApacheBeam) Senior-level ML engineers are preferred, but all levels ...

... years of experience in data engineering, analytics engineering, or data infrastructure roles ● 3+ years of experience managing multi-team or multi-functional data organizations Deep expertise in modern data stack tools and concepts, including ELT pipelines, cloud data warehouses, dbt, orchestration frameworks, and data ...

... 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 ...

... Power Platform (Power BI, Power Apps, Power Automate ).. - Data Governance & Quality - Ensure data quality, consistency, and integrity across systems. - Define data standards, reporting structures, and governance mechanisms. - Support continuous improvement through data validation and auditing. Partner with Engineering Managers, ...

... 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 ...

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, ...

... call support days: 12:30pm-9:30pm Requirements - Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents - Python - Must have - Databricks - Must have - Unity Catalog - Must have - ADLS - Must have - Spark - Must have - Job Orchestration (Airflow) - Must have - Data pipeline Architecture and ...

... 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, ...

... 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 ...

... 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

... missed, incorrect, or duplicate objects. Verify images are uploaded to the correct assigned tools. Perform quality checks and correct tagging errors. Maintain dataset accuracy and follow defined SOPs. Support dataset preparation, Train/Valid splitting, and dataset version creation. Escalate unclear images, project mismatches, ...