Job Summary

  • Job Description

    We are seeking an AI/ML Engineer with 1–2 years of experience to contribute to the development of intelligent solutions in design, simulation, and workflow automation. You will focus on building proof-of-concepts, training models, and supporting integration efforts, while gaining exposure to advanced AI/ML techniques.

    Responsibilities:

    • Train and evaluate ML/DL models for classification, regression, or computer vision tasks.
    • Prepare and process structured and unstructured datasets (design files, simulations, time-series, sensors).
    • Prototype solutions such as anomaly detection, surrogate modeling, or recommendation systems.
    • Automate workflows using Python and common ML libraries.
    • Collaborate with senior engineers to integrate ML into larger systems and tools.
    • Learn and support advanced areas like reinforcement learning, optimization, and generative design.
    • Document experiments, findings, and best practices.

     


     

    Requirements

    • Bachelor’s degree in Computer Science, Data Science, or related field.
       
    • 1–2 years of experience in AI/ML development.
       
    • Proficiency in Python with exposure to ML/DL frameworks (PyTorch, TensorFlow, scikit-learn).
    • Strong foundation in ML concepts: data prep, feature engineering, model evaluation.
    • Familiarity with cloud-based ML services (AWS, Azure, GCP)
    • Exposure to reinforcement learning, optimization, or physics-informed ML.
    • Experience with handling engineering/simulation datasets.
    • Knowledge of MLOps practices (basic CI/CD for ML).
    • Curiosity to learn advanced AI integration and cross-platform workflows.
       

    Benefits

    • Opportunity to work with a dynamic and fast-paced IT organization.
    • Make a real impact on the company's success by shaping a positive and engaging work culture.
    • Work with a talented and collaborative team.
    • Be part of a company that is passionate about making a difference through technology.

     

Role Specific Skills

  • Agile Development & Scrum Methodologies
  • Analytical Thinking
  • API Design & Integration
  • Database Design & Management
  • Debugging & Troubleshooting
  • Frontend & Backend Development
  • Object-Oriented Programming (OOP)
  • Problem-Solving
  • Programming languages
  • Teamwork
  • Basic Qualifications

    • Bachelor of Science (B.Sc) - Data Science
    • Bachelor of Technology (B.Tech) - Computer Science & Engineering (AI & Data Science)
    • Bachelor of Technology (B.Tech) - Data Science
    • Master of Science (M.Sc) - Data Science

    Journey

    • Application Date

      2025-11-28 00:00:00.0 - 2026-02-26 00:00:00.0

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