ML Platform Specialist - Python/PySpark

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 environment.

Responsibilities :

- 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