ML Engineer_Full-time

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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About the Role:

Machine Learning Engineer


Key Responsibilities:

  • Collaborate with data scientists and engineers to develop and deploy ML models.
  • Write clean, efficient, and reusable code using

    Python

    (mandatory) and

    C/Java

    (basic to intermediate level).
  • Work with datasets to preprocess, clean, and transform data for ML pipelines.
  • Implement basic ML/DL algorithms and help optimize model performance.
  • Contribute to system-level design and architecture discussions for ML solutions.
  • Stay up to date with trends in ML, DL, and AI technologies.


Required Skills & Qualifications:

  • Programming:

    Basic to intermediate proficiency in

    C/Java

    and strong expertise in

    Python

    .
  • System Knowledge:

    Good understanding of OS fundamentals, memory management, and performance considerations.
  • Mathematics & Statistics:

    Basic understanding of statistics, probability, and linear algebra.
  • Machine Learning & AI:

    Knowledge of ML algorithms, deep learning frameworks (TensorFlow, PyTorch preferred), and AI concepts.
  • Problem-Solving:

    Strong analytical and debugging skills.
  • Communication:

    Ability to work effectively with cross-functional teams.


Nice to Have:

  • Experience with cloud platforms (AWS/GCP/Azure).
  • Exposure to MLOps tools or model deployment workflows.
  • Hands-on experience with data visualization libraries.

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