Data Scientist / Applied ML Engineer

VRINDA INTERNATIONAL

Papum Pare District

Hybrid

INR 1,500,000 - 3,500,000

Part time

12 days ago

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Job summary

VRINDA INTERNATIONAL is hiring a Data Scientist / Applied ML Engineer to develop and productionize LLM-based solutions for AI document intelligence. Hybrid work model with a focus on scalable ML pipelines, evaluation, and enterprise data integration.

The role requires 5–7+ years in data science and ML, strong Python, and hands-on experience with Azure OpenAI, Azure ML, and MLflow to build production-grade systems for mining industry use cases.

Qualifications

  • 5–7+ years of experience in Data Science and ML.
  • Strong Python and production-grade software engineering skills.
  • Experience with LLMs and AI document intelligence.
  • Experience with Azure AI services.
  • Experience with prompt engineering.
  • Experience with ML pipelines and evaluation frameworks.
  • Familiarity with Snowflake, Cosmos DB and SAP.

Skills

Python programming
Prompt engineering
LLM application engineering
AI document intelligence
Production-grade software engineering
Evaluation frameworks
Pydantic validation

Tools

Azure OpenAI
Azure AI Document Intelligence
Azure Machine Learning
MLflow
Snowflake
Cosmos DB
SAP
OpenTelemetry
Pydantic

Job description

Data Scientist / Applied ML Engineer

We are looking for a skilled Data Scientist / Applied ML Engineer with expertise in LLMs, AI document intelligence, Azure AI Services, and production-grade machine learning systems.

Requirements

We're Hiring | Data Scientist / Applied ML Engineer

Location: PAN India

Experience: 5–7+ Years

Work Mode: Hybrid

Industry: Mining

Interview Process: Level 1 – Virtual | Level 2 – Face-to-Face

Mandatory Skills
  • Python & Production-Grade Software Engineering
  • LLM Application Engineering
  • Prompt Engineering
  • AI Document Extraction Pipelines
  • Evaluation Frameworks
  • Structured Outputs & Pydantic Validation
  • Azure OpenAI
  • Azure AI Document Intelligence
  • Azure Machine Learning
  • MLflow
  • Enterprise Data Integration (Snowflake, Cosmos DB, SAP)
  • OpenTelemetry
  • Human-in-the-Loop AI Systems
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