Machine Learning Engineer

8 years

0 Lacs

Posted:23 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

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About the Role

Machine Learning Engineers


Key Responsibilities

  • Design, develop, and deploy

    machine learning models

    for production applications.
  • Build and optimize

    end-to-end ML pipelines

    using

    PySpark

    and

    MLflow

    .
  • Work with structured & unstructured data using

    Pandas, NumPy,

    and other libraries.
  • Train, fine-tune, and evaluate models using

    Scikit-learn, TensorFlow, or PyTorch

    .
  • Integrate and experiment with

    LLMs (GPT, Hugging Face Transformers, etc.)

    .
  • Collaborate closely with

    data engineers, product managers, and developers

    .
  • Monitor and improve

    model accuracy, reliability, and performance

    .
  • Ensure reproducibility and proper versioning of ML experiments using

    MLflow

    .

Required Skills

  • Strong programming expertise in

    Python

    .
  • Solid understanding of

    ML algorithms, model development, and evaluation

    .
  • Hands-on experience with

    PySpark

    for large-scale data processing.
  • Proficient in

    MLflow

    for tracking experiments and lifecycle management.
  • Strong knowledge of

    Pandas, NumPy, and Scikit-learn

    .
  • Familiarity/experience with

    LLMs (OpenAI, Hugging Face, etc.)

    .
  • Good understanding of

    MLOps principles

    and best practices for deployment.

Preferred Qualifications

  • Bachelor’s/Master’s

    degree in Computer Science, AI/ML, Data Science, or related fields.
  • Exposure to

    cloud ML platforms

    (AWS SageMaker, Azure ML, GCP Vertex AI).
  • Strong

    analytical, problem-solving, and teamwork

    skills.


🚀 If you are passionate about building scalable ML solutions and want to work on cutting-edge AI initiatives, we’d love to connect!


👉 Apply now or share your CV with us.

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