AI/ML Engineer – Python

4 - 5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title:

Experience Required:

Location:

Job Type:


Job Summary:

AI/ML Engineer


Key Responsibilities:

  • Design, develop, and deploy

    machine learning and deep learning models

    using Python.
  • Work with large datasets to perform

    data cleaning, preprocessing, and feature engineering

    .
  • Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions.
  • Evaluate and tune model performance using techniques like

    cross-validation

    ,

    hyperparameter tuning

    , etc.
  • Use libraries like

    scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy

    , and

    OpenCV

    .
  • Deploy ML models using

    APIs, Docker, cloud platforms (AWS, GCP, Azure)

    , or MLOps pipelines.
  • Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems.
  • Document model workflows, performance metrics, and code for reproducibility and compliance.


Required Skills & Qualifications:

  • Bachelor's/Master’s degree in

    Computer Science, Artificial Intelligence, Data Science

    , or related field.
  • 4–5 years of experience in

    AI/ML development using Python

    .
  • Solid understanding of

    ML algorithms

    (classification, regression, clustering, NLP, computer vision).
  • Experience with

    model deployment

    and

    productionizing AI solutions

    .
  • Familiarity with

    cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform)

    is a plus.
  • Strong analytical, problem-solving, and programming skills.
  • Ability to interpret business needs and translate them into technical solutions.


Preferred Tools & Frameworks:

  • Python

    ,

    scikit-learn

    ,

    TensorFlow

    ,

    Keras

    ,

    PyTorch

  • Pandas

    ,

    NumPy

    ,

    Matplotlib

    ,

    Seaborn

  • Flask/FastAPI

    for deploying models
  • MLflow

    ,

    Docker

    ,

    Git

    ,

    Jupyter Notebooks

  • Exposure to

    NLP

    ,

    Computer Vision

    , or

    Reinforcement Learning

    is a plus


Certifications (Optional but Preferred):

  • TensorFlow Developer Certificate

  • AWS Certified Machine Learning – Specialty

  • Google Professional ML Engineer

  • Microsoft Certified: Azure AI Engineer Associate



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