AI/ML Engineer
3 days ago
Job Title: AI/ML Researcher – Mechanical Systems
Location: Hyderabad
Experience: 3–5 Years
Employment Type: Full-time
About the Role:
We are looking for a dynamic and interdisciplinary AI/ML Researcher with a mechanical engineering background to join our R&D team in Hyderabad. In this role, you will apply machine learning and data-driven methods to solve engineering challenges related to mechanical systems, manufacturing processes, predictive maintenance, and system optimization. This is a unique opportunity for someone passionate about bridging the gap between mechanical engineering and artificial intelligence.
Key Responsibilities:
• Develop and implement AI/ML algorithms for mechanical engineering applications such as:
o Predictive maintenance
o Condition monitoring
o Process optimization
o Thermal/fluid/structural system modeling
• Analyze engineering data from sensors, machines, or simulation results to derive insights and build predictive models.
• Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MATLAB for model development and deployment.
• Work with cross-functional teams to integrate AI solutions into mechanical or manufacturing systems.
• Validate models using real-world or experimental datasets and continuously improve model accuracy and reliability.
• Prepare research reports, technical documentation, and support patent or publication initiatives.
Required Qualifications:
• Bachelor's or master's degree in mechanical engineering or Mechatronics, with additional experience or training in AI/ML/Data Science.
• 3–5 years of relevant experience in applying machine learning to mechanical or engineering systems.
• Proficiency in Python, with experience in ML libraries such as TensorFlow, PyTorch, Scikit-learn.
• Familiarity with signal processing, time series analysis, or simulation data (e.g., CFD/FEA outputs).
• Strong understanding of engineering fundamentals in thermal, fluid, vibration, or structural domains.
• Ability to work with large datasets, data preprocessing, and model deployment.
Preferred Qualifications:
• Experience in digital twins, smart manufacturing, or IoT-based condition monitoring.
• Exposure to real-time systems, edge computing, or AI in embedded systems.
• Knowledge of tools like MATLAB/Simulink, Ansys, or SolidWorks in combination with ML models.
• Publications, patents, or conference presentations in AI for mechanical systems.
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