MLOps Engineer

1 day ago

Chennai, Tamil Nadu, India Unicorn Workforce Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title:
MLOps Engineer

Location:
Chennai/Hyderabad

Experience:
5 – 12 Years

Notice Period:
Immediate to 30 Days

Job Description

We are seeking an experienced
MLOps Engineer
to design, implement, and maintain scalable machine learning pipelines and infrastructure. The role requires a strong understanding of ML lifecycle management, CI/CD for ML models, and cloud platforms to ensure seamless integration between data science and production environments.

Key Responsibilities

  • Build, deploy, and manage
    end-to-end ML pipelines
    from experimentation to production.
  • Develop and maintain
    CI/CD workflows
    for ML models.
  • Automate training, testing, monitoring, and retraining processes.
  • Manage
    model versioning, deployment, and scaling
    in production environments.
  • Ensure
    observability, logging, and monitoring
    for ML models and pipelines.
  • Collaborate with data scientists, data engineers, and software engineers to deliver robust ML solutions.
  • Optimize cost, performance, and reliability of ML infrastructure.

Required Skills

  • Strong proficiency in
    Python
    and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with
    CI/CD tools
    (GitHub Actions, Jenkins, GitLab CI/CD, Argo).
  • Proficiency in
    Docker, Kubernetes, and container orchestration
    .
  • Experience with
    cloud platforms
    (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Knowledge of
    ML model monitoring, logging, and A/B testing
    .
  • Understanding of
    data pipelines, ETL, and feature stores
    .
  • Strong problem-solving and debugging skills.

Good to Have

  • Experience with
    infrastructure as code (IaC)
    using Terraform/CloudFormation.
  • Exposure to
    data versioning tools
    like DVC, MLflow, or Kubeflow.
  • Knowledge of
    security and compliance
    in ML systems.

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