Machine Learning Engineer

5 years

0 Lacs

Posted:6 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Machine Learning Engineer


Responsibilities

  • Build and validate ML prototypes to solve real business problems
  • Develop, test, and optimize ML models using structured and unstructured data
  • Design and implement scalable data pipelines and model serving infrastructure
  • Continuously monitor, improve, and re-train models in production
  • Ensure reproducibility, versioning, and documentation of models and experiments
  • Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements.
  • Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and monitoring.



Qualifications

  • Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
  • 5+ years of professional experience with at least 3 years in machine learning and data science.
  • Take at least one ML solution from idea to full-scale production deployment
  • Strong programming skills in

    Python

    , with experience in ML libraries like

    TensorFlow, PyTorch, Scikit-learn, XGBoost

    , etc.
  • Deep understanding of

    ML architecture patterns

    ,

    data pipelines

    , and

    distributed systems

    .
  • Experience with

    any of cloud

     platforms like

    AWS, Azure, or GCP

     and cloud-native ML tools (SageMaker, Vertex AI, Azure ML).
  • Proficiency in

    Docker

    ,

    Kubernetes

    , and other containerization/orchestration tools.


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Neev Systems

Information Technology

Bangalore

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