Machine Learning Engineer-Digital Twin

Your Role

• Develop and deploy advanced ML models for predictive analytics and optimization within digital twin environments.
• Build scalable feature engineering and inference pipelines for real-time and batch processing use cases.
• Design and integrate ML systems into production ecosystems, enabling simulation and decision-making capabilities.
• Collaborate with cross-functional teams to enhance digital twin models using time-series data and operational insights

Your Profile

• 6–13 years of experience in machine learning with strong expertise in Python and TensorFlow for model development.
• Hands-on experience in production-grade ML deployment, including MLflow for experiment tracking and lifecycle management.
• Strong understanding of time-series modeling, forecasting techniques, and real-time inference pipelines
• Exposure to optimization and simulation tools (OR-Tools, SimPy) with an interest in digital twin and industrial analytics applications.

What you will love about working here

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.