1,942 data entry operator jobs in India.

Rs 5 - 10 lakhs p.a.

... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions for ...

• Hybrid

... quality at a global scale? Join us in Bangalore to lead a team of expert medical reviewers, advance Risk-Based Quality Management (RBQM), and ensure that the data behind life-changing therapies is robust, reliable and patient-focused. Your new role As Senior Manager of CMU-BLR Medical Data Review, you will plan and oversee ...

• Hybrid
• On-site

Role Summary We are hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering ...

• Remote
• Hybrid
• On-site

$30 USD

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

• Remote
• Contract

Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, ...

Rs 5 - 10 lakhs p.a.

... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions for ...

Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...

... platforms. Strong SQL and data modelling skills with experience designing scalable and reusable data structures. Experience exploring, integrating and engineering data across complex enterprise landscapes and multiple source systems. A solid understanding of data architecture, data governance and modern data engineering principles. ...

• Hybrid
• Full-time

Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...

... existing business processes, identify gaps, and recommend data-driven improvements. - Build modern real-time data solutions using Scala , Apache Spark , and Azure Databricks . - Partner with data scientists and business stakeholders to operationalize machine learning models. - Champion data governance, metadata management, and ...

Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...

• Hybrid
• On-site

... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...

4300

... and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven systems. Data Science and Machine Learning - Data Science and Machine Learning - Python Database - Database Programming - SQL Big Data - Big Data - Pyspark Data & AI - Data Engineering - Data Quality & Validation ...

... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...

... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...

• Hybrid

... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...

• Remote
• Hybrid
• On-site

... Designing scalable ETL/ELT pipelines - Intermediate Software / Tool Skills Python - Intermediate (4-6 Years) Microsoft Visual Studio - Intermediate (4-6 Years) IBM Data Studio 4.1.3 - Entry Level (1-3 Years) Competitive compensation and benefits package: - Competitive salary and performance-based bonuses - Comprehensive benefits ...

• Remote

... robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers. Apply schema evolution and data versioning to support agile data development. Platform Integration & Data Ingestion: Connect and ingest data from enterprise ...

... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

• Hybrid

... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...