Machine Learning Engineer - Python/Hadoop

4 - 5 years

4 - 5 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities

:
  • Conduct feature engineering

    ,

    data analysis

    , and

    data exploration

    to extract valuable insights.
  • Develop and optimize Machine Learning models

    to achieve high

    accuracy

    and

    performance

    .
  • Design and implement Deep Learning models

    , including

    Artificial Neural Networks (ANN)

    ,

    Convolutional Neural Networks (CNN)

    , and

    Reinforcement Learning

    techniques.
  • Handle

    real-time imbalanced datasets

    and apply appropriate techniques to improve model

    fairness

    and

    robustness

    .
  • Deploy models

    in production environments and ensure continuous

    monitoring

    ,

    improvement

    , and

    updates

    based on feedback.
  • Collaborate with cross-functional teams

    to align

    ML solutions

    with

    business goals

    .
  • Utilize fundamental

    statistical knowledge

    and

    mathematical principles

    to ensure the

    reliability

    of models.
  • Bring in the latest advancements in

    ML and AI

    to drive

    innovation

    .

Required Skills

:
  • 4-5 years of hands-on experience

    in

    Machine Learning

    and

    Deep Learning

    .
  • Strong expertise in

    feature engineering

    ,

    data exploration

    , and

    data preprocessing

    .
  • Experience with

    imbalanced datasets

    and techniques to improve

    model generalization

    .
  • Proficiency in

    Python

    ,

    TensorFlow

    ,

    Scikit-learn

    , and other

    ML frameworks

    .
  • Strong

    mathematical

    and

    statistical knowledge

    with

    problem-solving

    skills.
  • Ability to

    optimize models

    for high accuracy and performance in

    real-world scenarios

    .

Preferred Skills

:
  • Experience with

    Big Data technologies

    (e.g.,

    Hadoop

    ,

    Spark

    ).
  • Familiarity with

    containerization

    and

    orchestration tools

    (e.g.,

    Docker

    ,

    Kubernetes

    ).
  • Experience in automating

    ML pipelines

    with

    MLOps practices

    .
  • Experience in model deployment using

    cloud platforms

    (

    AWS

    ,

    GCP

    ,

    Azure

    ) or

    MLOps tools

    .

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Vayuz Technologies

Information Technology & Services

Navi Mumbai

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