MLOps Data Engineer

14 hours ago

Pune, Maharashtra, India Sigma Solve Inc Full time ₹ 4,50,000 - ₹ 12,81,411 per year

Job Title: MLOps Data Engineer

Company: Sigma Solve Limited

Location: Ahmedabad / Pune (Hybrid / Remote options may be available)

Job Type: Contract / Freelance

Job Summary:

Sigma Solve Limited is seeking a highly skilled MLOps Data Engineer with strong expertise in data engineering and hands-on experience with LLM/GenAI workflows. The ideal candidate will have a solid background in ML pipeline development, cloud platforms, and vector database integrations, along with proficiency in modern MLOps practices.

Key Responsibilities

  • Design, build, and manage scalable ML pipelines on Azure ML, AWS SageMaker, or GCP Vertex AI.
  • Develop and integrate ML/GenAI models into production systems.
  • Work with LangChain and LangGraph for orchestrating LLM workflows and multi-step agents.
  • Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, and similarity search.
  • Manage and optimize vector databases (Pinecone, PGVector).
  • Build and maintain ETL/ELT pipelines with Azure Data Factory, AWS Glue, or Airflow.
  • Implement CI/CD pipelines for ML workflows (Azure DevOps, GitHub Actions, Jenkins).
  • Handle model versioning, monitoring, retraining, and governance (MLflow, Kubeflow).
  • Manage big data frameworks (PySpark, SparkSQL) and integrate multiple data sources.
  • Create dashboards using Power BI, Tableau, or Looker for ML pipeline monitoring.

Required Skills & Qualifications

  • Experience: 5+ years in data engineering and 1–2 years with LLM/GenAI workflows.
  • Strong proficiency in Python and SQL.
  • Experience with Scikit-learn, TensorFlow, PyTorch, XGBoost.
  • Knowledge of Azure, AWS, or GCP cloud ecosystems.
  • Proficiency in Docker & Kubernetes.
  • Experience with REST/GraphQL APIs.
  • Strong understanding of data pipelines, performance optimization, and monitoring tools.

Job Type: Contractual / Temporary

Pay: ₹450, ₹1,281,411.40 per year

Work Location: In person

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