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Data India Jobs (NOW HIRING)

Role: Data Scientist - INDIA Location: Hyderabad / Noida, INDIA *Consultants local to INDIA are eligible. Category: Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are ...

Data Scientist - INDIA Location: Hyderabad, INDIA *Consultants local to INDIA are eligible. Category: Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ...

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97.10K - $131.90K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Data Engineer - India

Plano, TX · On-site

$110.10K - $132.20K/yr

Title: Data Engineer Locations: India - Remote Duration: 15 weeks We're in search of a candidate who knows about and loves working with modern data integration frameworks, big data and cloud ...

Senior Data Engineer INDIA

Prosper, TX · On-site +1

$97.10K - $131.90K/yr

Senior Data Engineer Remote Work: INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: Design, develop, and maintain scalable data pipelines using ...

Strong expertise in data structures and algorithms (highly important). * Strong proficiency in HTML ... Work remotely - anywhere from India. * Market-competitive total compensation package and ...

Lead AI Engineer - Bengaluru, INDIA

Prosper, TX · On-site +1

$93.90K - $123.60K/yr

Lead AI Engineer - Bengaluru, INDIA Full Time *Consultants local to INDIA only Primary ... You will work end-to-end: from data ingestion and model integration to scalable deployment ...

BI Data Engineer (Remote, India)

$117.20K - $140.70K/yr

Work with the Data Integration, Reporting and Analysis teams Responsibilities: * Design and implement efficient and scalable ETL processes to move and transform data from source systems to data ...

We specialize in data engineering, custom software, AI/ML, and cloud-native application development ... India. This is a remote, full-time opportunity to work on high-impact projects using modern web ...

$113.40K - $149.40K/yr

Bring data-backed product suggestions and challenge existing approaches * Map edge cases ... Be among the founding members of our India engineering team and shape its culture Reporting ...

... UK/India Project teams and third-party vendors or SSC Business units and the Clients Requirements Analysis, Data Flows, Data Mapping exercise to the source systems Flexibility to work in UK/India ...

DB Architect | India Req | Remote |

Chicago, IL · Remote

$65.75 - $84.50/hr

Can be based in India. Not much of DB2, DB2 knowledge is good to have. If the candidate has Oracle DB experience is also fine. Best case is DB2 experience + Postgres RDS experience.

Knowledge of data structures and object-oriented programming (OOP). * Knowledge of database design ... Work remotely - anywhere from India. * Market-competitive total compensation package and ...

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How much do data india jobs pay per year?

As of May 28, 2026, the average yearly pay for data india in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
More about Data India jobs
What cities are hiring for Data India jobs? Cities with the most Data India job openings:
What states have the most Data India jobs? States with the most job openings for Data India jobs include:
Infographic showing various Data India job openings in the United States as of May 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - INDIA

Vytwo

Prosper, TX • On-site, Remote

Full-time

Posted 27 days ago


Job description

Role: Data Scientist - INDIA
Location: Hyderabad / Noida, INDIA

*Consultants local to INDIA are eligible.Category: Data Science Structured Data / Text Data (NLP & GenAI)
About the Role

We are seeking a highly skilled Data Scientist (37 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (8090%) Predictive analytics, forecasting, cost estimation, likelihood modeling, and batchoriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks.
This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions.
Key Responsibilities

Structured Data Machine Learning & Analytics

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
  • Perform large-scale feature engineering using PySpark and Big Data tools.
  • Work on batch pipelines, model versioning, and experiment tracking.
  • Develop cost estimation and risk/likelihood models using statistical and ML techniques.
Text Data / NLP / GenAI

  • Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Develop realtime, lowlatency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
  • Create prompts, context graphs, and agentic workflows for LLM-based systems.
  • Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.
Core Data Science Engineering & MLOps

  • Work in Databricks for ETL, feature engineering, ML training, and orchestration.
  • Use Azure services for model deployment, data pipelines, and infrastructure.
  • Collaborate using Git-based workflows; leverage tools like GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking.
Required Skills & Experience

Core Skills

  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
  • Excellent PySpark skills for large-scale distributed data processing.
  • Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
  • Strong understanding of ML algorithms, statistical methods, and data analysis.
  • Experience with deep learning frameworks:
    • PyTorch
    • TensorFlow
    • Transformers (HuggingFace)
  • Experience with model monitoring and ML observability.
  • Ability to write clean, optimized code and leverage AI code assistants.
NLP / GenAI Specific Skills

  • Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
  • Context engineering (retrieval pipelines, RAG, memory management, context structuring).
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.).
  • Experience with vector databases and embedding models is a plus.
Good to Have Skills

  • Experience with containerization (Docker, Kubernetes, AKS).
  • Experience deploying models to production (REST APIs, real-time endpoints).
  • Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming).
  • Understanding of CI/CD for ML (Azure DevOps / GitHub Actions).
Who You Are

  • A problem solver who is comfortable working with both structured and unstructured data.
  • Someone who enjoys using modern AI tools to accelerate development.
  • A data scientist who writes clean, production-grade code.
  • A collaborator who thrives in cross-functional teams and fast-paced environments.

Flexible work from home options available.