Description

You will convert data science Proof-of-Concept solutions into production-grade, automated ML pipelines hosted in Databricks Cloud.

This role is on-site.

Responsibilities

• Build scalable data and model pipelines, ensuring reliability and observability.
• Implement CI/CD, model deployment automation, and MLOps best practices.
• Monitor model and pipeline performance; implement alerting and issue remediation.
• Maintain and enhance existing production tools and ML workloads.
• Collaborate with Data Scientists and platform teams for seamless migration and sustainment.

Required Skills

• Strong proficiency in Python programming and SQL for data manipulation and pipelines.
• Expertise in PyTorch and TensorFlow for model implementation.
• Experience with Databricks for scalable production ML pipelines.
• Knowledge of classical ML techniques: regression, classification, and time series analysis.
• Implementing CI/CD pipelines and MLOps best practices.
• Monitoring, logging, and performance optimization of ML models and workflows.
• Understanding of enterprise AI architecture standards and security compliance.

Preferred Skills

• Familiarity with SSRS for reporting.
• Experience with Scikit-learn.

Education: Any Graduate. Experience: 5+ years.

Key Skills

Education

Any Graduate