Sr ML Engineer

4 - 7 years

4 - 6 Lacs

Posted:1 month ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

  • Build and manage end-to-end ML pipelines using

    Vertex AI Pipelines

    ,

    Airflow

    , or similar orchestrators.
  • Implement ML models using

    TensorFlow

    ,

    PyTorch

    , or other frameworks; monitor model performance in production.
  • Manage Python environments using

    venv

    ,

    pip

    ,

    poetry

    , and containerized deployments with

    Docker

    .
  • Design and implement distributed data pipelines with

    Apache Spark

    ,

    Beam

    , or

    Flink

    .
  • Develop data ingestion workflows from databases and API-based sources using

    GCP tools

    .
  • Optimize pipelines and clusters for performance, cost, and scalability.
  • Perform feature engineering, data engineering, and ML model evaluation.
  • Develop and maintain

    CI/CD pipelines

    , deployment strategies, and infrastructure-as-code using

    Terraform

    .
  • Design data architecture considering storage and compute options for efficient BI and analytics use cases.
  • Optional / Good to have: Kubernetes, Vector Databases (e.g., Qdrant), and LLM experience (embeddings, RAG, agents).

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