AI Engineer Machine Control & Automation
- Bajaj Finance
- 3 to 7 Yrs
- All India
- 2 months ago
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Job Description
- Role Overview We are looking for a Machine Control Engineer with strong coding skills and a passion for learning AI, reinforcement learning (RL), and intelligent automation. This role will focus on developing and optimizing control systems for complex industrial machines, integrating AI-driven approaches to improve precision, efficiency, and automation. Key Responsibilities Develop, optimize, and maintain real-time machine control systems for precision manufacturing and automation. Implement algorithm-driven control logic using Python, C++, or MATLAB. Work with PLC, motion control, and CNC systems for high-precision equipment. Integrate AI/ML-based models into machine control workflows for predictive maintenance, anomaly detection, and process optimization. Explore and apply reinforcement learning (RL) techniques to improve machine decision-making and adaptive control. Design simulation environments for machine behavior testing and optimization. Collaborate with AI, automation, and manufacturing teams to develop intelligent control solutions. Troubleshoot, debug, and optimize real-time control systems for efficiency, accuracy, and reliability. Qualifications & Experience Bachelors or Masters degree in Electrical Engineering, Mechanical Engineering, Computer Science, Mechatronics, or a related field. Over 3 years of experience in machine control, automation, or industrial systems. Proficiency in Python, C++, or MATLAB for control system development. Experience with PLC programming, motion control, or robotic automation. Knowledge of real-time computing, embedded systems, or hardware-in-the-loop (HIL) testing. Willingness to learn AI, Machine Learning, and Reinforcement Learning for next-gen machine control. Strong debugging, problem-solving, and analytical skills. Bonus Skills Experience with digital twins, IoT, or edge computing in industrial applications. Knowledge of feedback control theory, optimal control, or PID tuning. Exposure to deep reinforcement learning (DQN, PPO, SAC) or model-based control. Familiarity with robotic simulation tools (MuJoCo, PyBullet, or Gazebo).,
Employement Category:
Employement Type: Full timeIndustry: Engineering / Construction
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: AI Engineer Machine Control & Automation
Contact Details:
Company: Tata ElectronicsLocation(s): All India
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Keyskills: Python C MATLAB PLC programming Motion control Reinforcement learning Embedded systems Debugging Analytical skills Problemsolving
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