Talent.com
This job offer is not available in your country.
ML Platform Specialist - Python / PySpark

ML Platform Specialist - Python / PySpark

CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE LGurgaon
30+ days ago
Job description

ML Platform Specialist :

Exciting opportunity for an ML Platform Specialist to join a leading technology-driven firm. You will be designing, deploying, and maintaining scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices.

Location : Gurugram (Hybrid)

Your Future Employer :

Our client is a leading digital transformation partner driving innovation across industries. With a strong focus on data-driven solutions and cutting-edge technologies, they are committed to fostering a collaborative and growth-focused :

  • Designing and implementing scalable ML infrastructure on Databricks Lakehouse
  • Building CI / CD pipelines and workflows for machine learning lifecycle
  • Managing model monitoring, versioning, and registry using MLflow and Databricks
  • Collaborating with cross-functional teams to optimize machine learning workflows
  • Driving continuous improvement in MLOps and automation strategies

Requirements :

  • Bachelors or Masters in Computer Science, ML, Data Engineering, or related field
  • 3-5 years of experience in MLOps, with strong expertise in Databricks and Azure ML
  • Proficient in Python, PySpark, MLflow, Delta Lake, and Databricks Feature Store
  • Hands-on experience with cloud platforms (Azure / AWS / GCP), CI / CD, Git
  • Knowledge of Terraform, Kubernetes, Azure DevOps, and distributed computing is a plus
  • Whats in it for you :

  • Competitive compensation with performance-driven growth opportunities
  • Work on cutting-edge MLOps infrastructure and enterprise-scale ML solutions
  • Collaborative, diverse, and innovation-driven work culture
  • Continuous learning, upskilling, and career development support
  • (ref : hirist.tech)

    Create a job alert for this search

    Platform Specialist • Gurgaon