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  • AL/ML Engineer - Baddi - Huptech HR Solutions

    Huptech HR Solutions
    Huptech HR Solutions Baddi

    3 weeks ago

    Description

    Job Title: AI/ML Engineer

    Experience:

    − 4+ years of experience in designing, building, and maintaining machine learning (ML) infrastructure on Google Cloud Platform (GCP)

    Location:

    − Remote work arrangement

    Key Responsibilities:

    • Design and Develop ML Infrastructure: Build and maintain scalable, efficient, and secure ML infrastructure on GCP using tools such as Vertex AI, Google Kubernetes Engine (GKE), Dataflow, BigQuery, and Cloud Functions.
    • Automate ML Pipelines: Develop and automate end-to-end ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TensorFlow Extended (TFX), or Vertex AI Pipelines.
    • Collaborate with Data Scientists: Work closely with data scientists to productionize ML models, support experimentation workflows, and ensure seamless integration between data science and engineering teams.
    • Implement Model Monitoring: Design and implement model monitoring and alerting systems for detecting drift, performance degradation, and data quality issues.
    • Containerized Workloads: Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker.
    • CI/CD Workflows: Set up continuous integration/continuous deployment (CI/CD) workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar.
    • Security and Compliance: Ensure proper security, versioning, and compliance across the ML lifecycle by implementing best practices and adhering to industry standards.
    • Documentation and Templates: Maintain detailed documentation, artifacts, and reusable templates for reproducibility and auditability. Holding a Google Cloud Professional Machine Learning Engineer Certification is an asset but not required.

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