Senior Data Engineer - GenAI & Unstructured Data Pipelines

atsMantra
Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
0-1 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Posted: 3 months ago
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Job Description

  • Own the end to end ML lifecycle, including data ingestion, feature engineering, training, evaluation, deployment, monitoring, retraining, and rollback
  • Design, build, and operate production grade ML pipelines using Azure native services with solid CI/CD and automation practices
  • Use Azure Machine Learning and MLflow for experiment tracking, model registry, and governed promotion across Dev/Test/Prod environments
  • Design and deploy Generative AI solutions using Azure OpenAI, embeddings, vector search, and RAG pipelines
  • Build Agentic AI workflows with multi step reasoning, tool usage, guardrails, observability, reliability, and cost control
  • Build scalable data and feature pipelines using Azure Databricks (batch and streaming)
  • Build scalable data pipelines for text, documents, logs, and multi-modal data
  • Develop RAG pipelines including chunking, embedding, and retrieval workflows
  • Design and manage vector search systems (Azure AI Search, Pinecone, etc.)
  • Build batch + real-time data ingestion pipelines using Spark and Kafka

Skills

Machine LearningAiMlData Engineer

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About Company

atsMantra is a leading HR Technology & Services provider, offering cutting-edge solutions for recruitment, talent management, and HR automation. We help businesses of all sizes streamline their HR processes, improve efficiency, and make data-driven decisions.

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