Mechanical Data Scientist

Job Title: AI/ML Researcher Mechanical Systems

Location:

Employment Type:

About the Role:

AI/ML Researcher

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.