
MLOps Data Engineer
2 days ago
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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