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Mid-level metro role but niche industrial AI specialization reduces candidate pool.
Strong industrial process control and optimization focus limits cross-industry transferability.
Mandatory 5+ years, advanced degree, and specialist ML/optimization/deployment skills enforce stringent filters.
Design and improve algorithms for AI-based plant control software focusing on non-linear data models and optimization.
Lead core controller development prioritizing robustness, optimizer performance, and scalability for global deployment.
Collaborate with engineers and domain experts to implement AI-driven control and optimization strategies and support end-to-end workflows from model training to continuous improvement.
Master's or PhD in Machine Learning, Computer Science, Mathematics, Engineering, or related technical field.
5+ years of experience in applied machine learning, optimization, and software development.
Proficient in Python and experienced in production-grade ML solution development, deployment, and operation.
On-site work location in Bangalore, India.
Experienced in industrial AI applications, including surrogate modeling, optimization, and model predictive control.
Comfortable working cross-functionally with process engineers, developers, and DevOps teams in an agile environment.
Demonstrates strong ownership and structured problem-solving approach for complex ML, optimization, and process control challenges.