4 - 8 years

10 - 20 Lacs

Posted:Just now| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

  • Key Responsibilities

    • Design, develop, and deploy ML models for predictive analytics, computer vision, or NLP use cases.
    • Build scalable data ingestion and preprocessing pipelines using Python (Pandas, PySpark, etc.).
    • Implement and optimize ML workflows using frameworks like TensorFlow, PyTorch, or scikit-learn.
    • Collaborate with data engineers and data scientists to integrate models into production systems.
    • Automate model retraining, monitoring, and performance tracking.

    • Required Skills & Qualifications

    • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
    • 4.9 years of hands-on experience in Python-based AI/ML development.
    • Good to have understanding of machine learning algorithms, model evaluation, and feature engineering.
    • Proficiency with Python libraries such as

      NumPy

      ,

      Pandas

      ,

      scikit-learn

      ,

      TensorFlow

      ,

      PyTorch

      , and

      MLflow

      .
    • Experience with data processing frameworks such as

      PySpark

      or

      Dask

      .
    • Familiarity with cloud platforms (

      AWS

      ,

      Azure

      ,

      GCP

      ) and containerization tools (

      Docker

      ,

      Kubernetes

      ).
    • Experience with API integration and MLOps tools (

      Databricks

      ,

      Airflow

      ,

      SageMaker

      , etc.).
    • Understanding of version control (

      Git

      ) and CI/CD pipelines

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