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Data India Jobs (NOW HIRING)

Vytwo

Lead AI Engineer - Bengaluru, INDIA

Prosper, TX · On-site

$93K - $123K/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 ...

Vytwo

Lead AI Engineer - Bengaluru, INDIA

Dallas, TX · On-site

$120 - $160/hr

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 ...

Stem Xpert

Data Analyst / Database Developer

Boston, MA · On-site

... 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 ...

Carolina IT Professionals, Inc

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Daily responsibilitiesDevelop Spark/ BQ data pipelines in GCP DataProc ClusterDevelop data models ... Team is geographically spread based mainly out of Charlotte, NC and Bangalore, India.Candidate ...

Namely

AI Engineer - India

Mountain View, CA · On-site

$120 - $150/hr

Hyderabad, India Years of Experience: 3‑4 years of hands‑on software engineering experience ... Implement data access patterns with a focus on performance, reliability, and consistency.

New

BetterCloud

Sr. Product Data Scientist

Manhattan, NY · On-site

$158 - $217/hr

K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a highly analytical, entrepreneurial Data Analyst, Product Strategy & AI to serve as the ...

Carolina IT Professionals, Inc

Data Engineer

Matthews, NC

$107K - $129K/yr

Daily responsibilities Develop Spark/ BQ data pipelines in GCP DataProc Cluster Develop data models ... Team is geographically spread based mainly out of Charlotte, NC and Bangalore, India. Candidate ...

RWS

Speech AI Evaluation Specialist - Hindi (India)

India (work from home) Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you ... AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine ...

Amiga Informatics

Data Architect

Orlando, FL

$59.50 - $76.50/hr

Have been explored from India and expand to USA, Hong Kong, Canada, Dubai. Data Architect Orlando, FL Fulltime Bachelor's degree in computer science or similar studies. 10+ years of experience ...

Jj

Sr Data Scientist Prod AI&ML

Cambridge, MA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations ... Bangalore, Karnataka, India, Barcelona, Spain, Cambridge, Massachusetts, United States of America ...

Jj

Sr Data Scientist Prod AI&ML

Titusville, NJ · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations ... Bangalore, Karnataka, India, Barcelona, Spain, Cambridge, Massachusetts, United States of America ...

psudo

Canada, London, India & Australia. Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers ...

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How much do data india jobs pay per year?

As of Aug 20, 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.
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Infographic showing various Data India job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Lead AI Engineer - Bengaluru, INDIA

Vytwo

Prosper, TX • On-site

$93K - $123K/yr

Full-time

Re-posted 22 days ago

Job description

Role: Lead AI Engineer - Bengaluru, INDIA
Full Time
*Consultants local to INDIA only
Primary Responsibilities: 
This role focuses on building production-ready AI applications and deploying them on Azure Databricks and Azure cloud infrastructure. You will work end-to-end: from data ingestion and model integration to scalable deployment, monitoring, and ongoing optimization.
The expectation is to convert AI ideas into reliable, governed, and cost-efficient applications that run in production. You will design data and AI pipelines, integrate models (including ML and Generative AI), and deploy them using Databricks workflows and Azure-native services.
Success in this role requires strong hands-on experience with Azure Databricks, Python, SQL, and Azure services, along with a clear understanding of how AI systems fail in production—and how to prevent it. You will collaborate closely with data scientists, platform engineers, and business stakeholders to ensure AI applications are usable, scalable, and maintainable beyond the first release.
 Key Responsibilities
  • Design and build end-to-end data and AI pipelines using Azure Databricks.
  • Develop robust ETL/ELT workflows using Python (PySpark) and SQL.
  • Implement CI/CD pipelines for Databricks deployments (jobs, notebooks, workflows).
  • Integrate Databricks with Azure services (Data Lake, Blob Storage, Key Vault, Azure OpenAI, Azure Functions, etc.).
  • Optimize jobs for performance, cost, and reliability.
  • Build reusable, modular code.
  • Collaborate with data scientists and platform teams to move models from experimentation to production.
  • Implement logging, monitoring, and error handling for production pipelines.
  • Develop and deploy ML and Generative AI models (LLMs, embeddings, RAG pipelines) for NLP, computer vision, and predictive analytics.
  • Fine-tune LLMs using LoRA/QLoRA and integrate with Azure OpenAI or Hugging Face models.
  • Implement vector search and retrieval pipelines using FAISS or Azure Cognitive Search.
  • Ensure responsible AI practices, including bias detection and model governance.
 Good to Have (Strong Advantage)
  • Experience with ML and Generative AI workloads on Databricks.
  • RAG, embeddings, or inference pipelines.
  • Terraform / ARM / Bicep for infrastructure.
  • Databricks Asset Bundles.
  • Airflow or ADF orchestration.
  • Production monitoring and cost optimization experience.
  • Knowledge of LangChain or similar frameworks for AI application development.
  • Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services).
 Requirements
  • Azure Databricks (jobs, workflows, clusters, Unity Catalog preferred).
  • Python (PySpark-heavy, not just pandas).
  • SQL (complex joins, window functions, analytical queries).
  • Azure Cloud (ADLS Gen2, ADF, Key Vault, IAM concepts).
  • Pipeline orchestration & deployment (CI/CD, environment promotion).
  • Azure DevOps.
  • Strong understanding of ML lifecycle and MLOps best practices.
  • Experience with model deployment using MLflow or similar frameworks.

Flexible work from home options available.