Senior Engineer - Virtual Engineering - AI ML

Overview

Senior/Lead ML Engineer focused on using machine learning to improve Manufacturing Engineering and Operations processes.

What you'll do

• Collaborate with stakeholders to solve Manufacturing Engineering and Operations business problems using ML.
• Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendations.
• Use MLOps tools to automate workflows, CI/CD pipelines, and model monitoring.
• Evaluate, validate, and benchmark model performance using defined metrics.
• Deploy AI models into production with IT/AI teams.
• Maintain monitoring and accuracy over time and ensure compliance with data security and regulatory requirements.

What you'll need

• 4–8 years of experience in Automotive Manufacturing or Manufacturing Engineering.
• 2+ years implementing AI/ML solutions in Automotive use cases.
• Executed at least 2 end-to-end projects in text or image data domain (problem definition to deployment).
• Strong programming skills in Python.
• Proficiency with ML/DL frameworks: Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience with data preprocessing, feature engineering, ETL, and EDA.

Details

• Work arrangement: hybrid (expected to report to the office four times per week or per business frequency).
• Location: Bengaluru, Karnataka, India.