MLOps Engineer

Job Requirement – Machine Learning Engineer

Job Title : Machine Learning Engineer

Location : Bangalore, India (Hybrid Onsite – Local candidates only )

Interview Mode : Video

Duration : 12+ Months (Contract to Hire)

Role Overview

We are seeking a highly skilled Machine Learning Engineer with hands-on experience designing, building, and optimizing ML models in production environments. The ideal candidate will possess strong Python programming expertise, a deep understanding of statistical and machine learning techniques, and experience working within Databricks-based data pipelines. This role requires close collaboration with data engineers, analysts, and product teams to deliver scalable, high-quality ML solutions.

Responsibilities

• Develop, train, optimize, and deploy machine learning models for production use cases.
• Work with large datasets using NumPy , Pandas , and other Python-based data processing tools.
• Build and maintain scalable ML workflows on Databricks .
• Collaborate with cross-functional teams to implement end-to-end ML pipelines.
• Perform feature engineering, model evaluation, and experiment tracking.
• Write clean, maintainable, and efficient Python code.
• Troubleshoot and improve existing ML models and data workflows.
• Follow MLOps best practices for versioning, monitoring, and automation.

Required Skills & Experience

Nice to Have (Optional)