ML Platform Specialist

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

What is 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