2,729 data entry projects jobs in India.

... 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 ...

... seeking a detail-oriented and technically proficient IT Data Analyst to join our team in a remote capacity. The ideal candidate will have a strong background in Data Engineering or ETL processes with hands-on experience in Azure Data Factory, Databricks, and SQL. This role will support business-critical data integration and ...

Actively hiring Computer/Data Entry Operator – Part-Time/Work From Home Job Start Date Starts  Immediately CTC (ANNUAL) ₹ 3,00,000 - 5,00,000 ₹ ... Remote job Part time Immediate start Work from home Worldwide

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, ...

... 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 ...

... Electrical /Computer Science/Information Technology/Data Science Engineering . - 0 to 1 years of experience working in Experience in power, energy or infrastructure projects preferred - Candidates with higher experience & Education also to be considered. - Engineering data and visualization pipelines - Strong communication skills ...

... 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 ...

... 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 ...

... 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, ...

... answer but needs space to find it. You think in full flows. Architecture decisions ripple into layout constraints, layout choices show up in characterization data, and characterization data feeds back into compiler automation. You have debugged enough memory compiler issues to know that the problem is rarely where it first ...

... 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 ...

... 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 ...

... 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 ...

About the Role: As a Data Scientist, you'll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive ...

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 ...

... 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 ...

... information security within the member firm, with the mandate from senior leadership, including strategy and planning, monitoring and maintenance, investments, projects and communication.- Information Security Risk Management : Oversight of information security risk management through risk assessment, including approval of ...

... 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