Lead Machine Learning Engineer

We're Hiring | Lead Machine Learning Engineer Databricks

Location: Hybrid (Chennai/Bangalore/Pune/Hyderabad)/Remote
Experience: 8+ Years
Department: AI/ML CoE - Machine Learning
Employment Type: Full-Time

We are looking for an experienced Lead Machine Learning Engineer to lead the design, implementation, and evolution of an enterprise-grade ML Platform and Feature Store on Databricks.

Key Responsibilities:

• Lead the architecture and implementation of the enterprise ML platform on Databricks.
• Build end-to-end MLOps workflows covering development, training, testing, registration, deployment, monitoring, retraining, and rollback.
• Design and implement enterprise Feature Stores, feature pipelines, governance, lineage, versioning, and reuse.
• Productionize ML/Data Science models and develop scalable batch and real-time inference solutions.
• Implement model monitoring, data quality, drift detection, explain ability, alerting, and operational dashboards.
• Establish standards for security, governance, observability, reliability, reproducibility, and lineage.
• Collaborate with Data Scientists, Data Engineers, Cloud, Architecture, Security, Risk, and Operations teams.
• Mentor engineers and Data Scientists while driving strong software and ML engineering practices.

Must-Have Skills:

8+ years of experience in ML / Data Science / MLOps / ML Engineering
Strong hands-on Databricks MLOps experience
Expert-level Python & SQL
MLflow
Unity Catalog
Delta Lake
Databricks Workflows & Jobs
Model Registry
CI/CD & Continuous Training (CT) pipelines
Production Feature Store & Feature Engineering
Strong Azure Cloud & Azure DevOps experience
ML lifecycle management, monitoring, drift, lineage & reproducibility
Strong technical leadership and stakeholder management

Preferred

• Databricks Certifications
• Azure Certifications
• Machine Learning Engineering Certifications
• Experience building enterprise AI/ML platforms
• Experience with large-scale production ML systems

Note:

• Only candidates with strong exp in ML will be considered.
• Candidates from core Data Scientist/Data Engineer is not suitable

If you have relevant skills & experience, kindly share your CV to [email protected]

"PLEASE DO NOT SPAM"