Mechanical Data Scientist

1 week ago

Hyderabad, Telangana, India Hylenr Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI/ML Researcher Mechanical Systems

Location: Hyderabad

Experience: 3 to 7 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:

  • Predictive maintenance

  • Condition monitoring
  • Process optimization

  • 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:

  • Bachelors or masters degree in mechanical engineering or Mechatronics, with additional experience or training in AI/ML/Data Science.
  • 35 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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