Machine Learning Engineer

Job Title: MLFlow Engineer (MLFlow 3.x)

Hybrid : Pune / Bangalore / Gurugram/ Hyderabad /Cochi/Noida/Chennai

Employment Type: Full-time

About the Role

MLFlow 3 Engineer

Key Responsibilities

• Design, implement, and maintain

  MLFlow 3.x

  tracking, model registry, and deployment pipelines.
• Integrate MLFlow with

  Databricks

  ,

  Azure ML

  , and CI/CD pipelines for automated model deployment.
• Develop and optimize

  PySpark

  data processing pipelines for model training and evaluation.
• Manage and monitor model performance, retraining, and version control.
• Optimize infrastructure for scalability, cost efficiency, and performance within

  Azure

  environments.
• Create documentation and reusable templates for ML model management and deployment.
• Ensure adherence to data governance, compliance, and security best practices.

Required Skills & Qualifications

• 3–6 years

  of experience in Machine Learning Engineering, MLOps, or related roles.
• Strong hands-on experience with

  MLFlow 3.x

  (tracking, registry, model serving).
• Proficiency in

  Python

  programming for building and deploying ML models.
• Experience with

  Databricks

  for ML lifecycle management and data engineering.
• Solid knowledge of

  PySpark

  for distributed data processing.
• Working experience with

  Microsoft Azure

  (Azure Databricks, Azure ML, Azure Data Lake, etc.).
• Experience integrating ML pipelines with

  CI/CD

  tools (e.g., Azure DevOps, GitHub Actions).
• Understanding of containerization and orchestration (

  Docker, Kubernetes

  ).
• Strong problem-solving skills and ability to work in cross-functional teams.

Preferred Qualifications

• Experience in

  MLOps automation

  and

  infrastructure as code

  (Terraform/ARM templates).
• Familiarity with

  model monitoring and drift detection

  frameworks.
• Knowledge of

  API-based model serving

  using MLFlow or Databricks endpoints.
• Azure certifications (e.g.,

  Azure Data Engineer Associate

  ,

  Azure AI Engineer Associate

  ) are a plus.