3,274 data entry com jobs in India.

Rs 5 - 10 lakhs p.a.

... Responsible AI standards and AI Governance. - Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python. - Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), Collaborate with ...

• Hybrid

... include: - Driving and overseeing clinical trial medical monitoring planning and execution in line with RBQM principles, GCP and SOPs and also ensuring medical data consistency and laboratory data surveillance - Leading, coaching and developing your team – setting clear competency and behavioural expectations, conducting ...

• 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

... will investigate sophisticated attacks, analyze large-scale traffic data, and strengthen security detection capabilities. You will work at the intersection of data science, threat analysis, application security, and product innovation. The role combines deep technical investigation with hands-on development of detection ...

Rs 5 - 10 lakhs p.a.

... Responsible AI standards and AI Governance. - Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python. - Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), Collaborate with ...

... resolution, root-cause analysis, and continuous improvement initiatives.- Help define and implement DevOps architecture, standards, and best practices for enterprise data platforms.- Ensure security, scalability, reliability, and high availability across deployment https://jobeax.com/link/72xljNf4GfrhBYcv Technical Skills : - Strong ...

... data engineering, analytics engineering or modern cloud-based data platforms. Strong expertise in Snowflake or comparable cloud data platforms. Strong SQL and data modelling skills with experience designing scalable and reusable data structures. Experience exploring, integrating and engineering data across complex enterprise ...

• 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 ...

• Hybrid
• On-site

... model development, validation, and deployment Communicate complex analytical results clearly to non-technical audiences Advanced proficiency in Python and SQL. Comprehensive knowledge of statistical and machine learning algorithms. Strong command of MS Office and data visualization tools such as Power BI. Practical experience ...

4300

... analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. ~ The Lead Data Engineer ...

... https://jobeax.com/link/S4RuHJ1G3doUiTso ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir https://jobeax.com/link/RDUDqJz5k99Gqrkb in the insurance domain is a https://jobeax.com/link/WcdeZfP9AzyV5ADN ...

... alignment.- Drive adoption of AI coding tools to multiply team https://jobeax.com/link/SUy80954HPKhhMw7 You will Bring : - 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 ...

• Hybrid

... people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, ...

• 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

... using APIs, JDBC, or other integration frameworks. Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data. Design standardized data ingestion processes with automated error handling, retries, and alerting. Data Quality, Monitoring, and Governance: Develop data quality ...

... define project scopes, and translate them into data science problems.- Develop, test, and productionize models using Python, SQL, and PySpark on large-scale datasets.- Apply deep learning and advanced statistical modeling techniques for use cases such as classification, regression, recommendation, and personalization.- ...

• 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 ...