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2 Days ago

Machine Learning Engineer

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Gurugram, Haryana, India
Information Technology
Full-Time
CADFEM Singapore

Overview

Job Description

  • Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis.
  • Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations.
  • Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling.
  • Train, validate, and fine-tune machine learning models using real-world engineering data.
  • Optimise models for performance, scalability, and robustness in production environments.
  • Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis).
  • Automate repetitive simulation tasks and enable predictive analytics for design optimisation.
  • Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions.
  • Deploy machine learning models into production environments and monitor their performance.
  • Maintain and update models to ensure reliability and continuous improvement.
  • Stay abreast of the latest advancements in machine learning, AI, and CAE technologies.
  • Apply innovative approaches to solve complex engineering problems.

Requirements

  • Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field
  • Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain
  • Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software
  • Strong programming skills in Python, R, or Java
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with data preprocessing, feature engineering, and statistical analysis
  • Solid understanding of mathematics, statistics, and problem-solving skills
  • Excellent analytical thinking and ability to tackle complex engineering challenges
  • Strong communication and teamwork skills to collaborate across disciplines
  • Preferred: Experience with physics-informed machine learning and digital twin technologies
  • Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design

Benefits

  • Challenging job and a chance to team up with a young and dynamic professional group
  • Chance to build yourself as WE grow.
  • Remuneration that stays competitive and attractive to retain the best.
  • Opportunity to join an organization experiencing year on year growth

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