Urgent Requirement

1 day ago

Mumbai, Maharashtra, India Exdonuts Full time ₹ 20,00,000 - ₹ 25,00,000 per year

HI

Hope you are doing well

I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details

Vertex AI

CHICAGO
, IL(Onsite)

About the Role:

We are seeking a skilled Machine Learning Engineer
with hands-on experience in
Google Cloud Vertex AI
to design, develop, deploy, and manage machine learning models in a scalable, efficient, and secure cloud environment. You'll work closely with data scientists, software engineers, and product managers to drive innovation through AI.

Key Responsibilities:

  • Design, build, and deploy machine learning models using
    Vertex AI pipelines
    ,
    AutoML
    , and
    custom training
    solutions.
  • Develop and manage end-to-end ML workflows including
    data preprocessing
    ,
    model training
    ,
    model evaluation
    , and
    deployment
    .
  • Collaborate with data engineering teams to build data ingestion and transformation pipelines using
    BigQuery
    ,
    Dataflow
    , and
    Cloud Storage
    .
  • Use
    Vertex AI Feature Store
    to manage, reuse, and serve ML features across models.
  • Monitor model performance and implement model versioning, rollback strategies, and continuous training using
    Vertex AI Model Monitoring
    .
  • Implement CI/CD pipelines for ML using
    Cloud Build
    ,
    GitHub Actions
    , or similar tools.
  • Ensure security, scalability, and cost-efficiency of deployed solutions on
    Google Cloud Platform (GCP)
    .
  • Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 3+ years of experience in machine learning engineering or a similar role.
  • Proven hands-on experience with
    Google Cloud Platform
    , especially
    Vertex AI
    ,
    BigQuery
    ,
    Cloud Functions
    ,
    Cloud Run
    , etc.
  • Proficiency in
    Python
    and ML frameworks like
    TensorFlow
    ,
    scikit-learn
    , or
    PyTorch
    .
  • Strong understanding of ML lifecycle management, model evaluation metrics, and MLOps practices.
  • Familiarity with containerization and orchestration (Docker, Kubernetes, etc.).
  • Experience with data versioning and experiment tracking tools (e.g., MLflow, Vertex AI Experiments).

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