AIML Engineer

Required Skills:

Model Predictive Control (MPC)

• Prediction Horizon
• Real-Time Solver
• Advanced Process Control
• Dynamic Optimization

Real-Time Optimization (RTO)

• Real-Time Optimization
• Plant Optimization
• Process Optimization
• Economic Optimization
• Nonlinear Programming
• NLP Solver

Surrogate Modeling

• Gaussian Processes
• Neural Networks for Process Modeling
• Reduced-Order Models
• Digital Twin
• Hybrid Modeling

Optimization Methods

• Linear Programming (LP)
• Nonlinear Programming (NLP)
• Mixed-Integer Optimization (MILP)
• Dynamic Optimization
• Gurobi / CPLEX / Pyomo

AI & Machine Learning

• Supervised Learning
• Time-Series Forecasting
• Reinforcement Learning
• Predictive Maintenance
• Process AI
• Hybrid AI Models

Mathematical Foundation

• Numerical Methods
• Control Theory
• Optimization Algorithms
• Applied Mathematics for Engineering

• Bachelors / Diploma / Masters degree / PhD in Process Systems Engineering or Chemical Engineering or Computer Science or similar degrees

• Minimum 3 years of professional experience in software development ideally within the chemical process industry or similar industrial domains.

• Deep knowledge of Probability Statistics and Machine learning algorithms

• Good Understanding ofmodel development(first principle/data-based) andNumerical AnalysisTechniques

• Strongproficiencyin Python and Shell scripting.

• Solid understanding ofsoftware development best practices.

• Knowledge in Containerization Cloud Architectures DevOps and MLOps workflows

• Hands-on experience withAdvanced Process Control especiallyModel Predictive Control (MPC)preferred.

• Domain knowledge in EPC Process engineering and Plant operation would be an advantage

Key Role & Responsibility

• Design and develop robust software solutions for industrial and chemical process applications.
• Research and implementappropriate MLalgorithms and tools
• Develop systems forMachine LearningModelTraining
• Architect and manage solutions in cloud environmentsleveragingDevOps andMLOpsmethodologies.
• Result oriented self-starter and able to workindependentlywith minimalguidance.
• Attention to detail and being proactive.
• Involve experts wheneverrequired.
• Ensure high-quality code through rigorous testing debugging and optimization.

Soft Skills:

• Excellent communication skills with strong proficiency in the English language
• Creative thinkingand a proactive approach to problem-solving
• Collaborative spiritwith the ability to work effectively in cross-cultural and cross-functional teams
• Strong ownership mindsetand accountability for deliverables
• Continuous learning attitudeand openness to feedback