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Sigma Solve, Inc. logo

ML OPS (4 - 8 years )

5 years

0 Lacs

ahmedabad gujarat india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

ml data engineering learning ai azure aws sagemaker gcp vertex design etl airflow regression clustering database model versioning monitoring drift python sql rest graphql tensorflow pytorch mlflow pyspark containerization docker cutting

Work Mode

Remote

Job Type

Full Time

Job Description

MLOps Data Engineer

Key Responsibilities

  • Build, deploy, and maintain ML pipelines using

    Azure ML, AWS SageMaker, or GCP Vertex AI

    .
  • Design and manage

    ETL/ELT workflows

    (Airflow, Data Factory, Glue) for efficient data integration.
  • Develop and integrate ML models (classification, regression, clustering, recommendation) into production systems.
  • Implement and optimize

    RAG pipelines, embeddings, and vector database integrations

    (Pinecone, PGVector).
  • Orchestrate LLM workflows using

    LangChain / LangGraph

    .
  • Apply MLOps best practices:

    CI/CD pipelines, model versioning, monitoring, retraining, and drift detection

    .
  • Collaborate with data scientists, engineers, and product managers to deliver impactful AI-driven solutions.
  • Create

    dashboards and monitoring tools

    for ML model performance and reporting.

Required Skills & Qualifications

  • 5+ years in

    data engineering

    , with 1–2 years in

    LLM/GenAI projects

    .
  • Strong proficiency in

    Python, SQL, REST/GraphQL APIs

    .
  • Experience with

    TensorFlow, PyTorch, Scikit-learn, XGBoost

    .
  • Hands-on with

    vector databases

    (Pinecone, PGVector).
  • Proficiency in

    MLOps tools

    (MLflow, Kubeflow, CI/CD).
  • Expertise in

    big data frameworks

    (PySpark, SparkSQL).
  • Familiarity with

    cloud ecosystems

    (Azure, AWS, GCP) and containerization (Docker/Kubernetes).
  • Strong analytical and problem-solving skills.

Why Join Us?

cutting-edge GenAI and LLM projects

talented and innovative team

enterprise-scale AI/ML systems

flexible working model (Remote/Hybrid)

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Sigma Solve, Inc. logo
Sigma Solve, Inc.

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