3 - 8 years

7 - 17 Lacs

Posted:22 hours ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description

Roles and Responsibilities:

  • Design and develop end-to-end ML pipelines using

    Python

    and

    PySpark

    for large-scale data processing.
  • Build, train, and deploy

    machine learning models

    for regression, classification, and clustering use cases.
  • Perform

    feature engineering

    , data preparation, and model optimization for better performance.
  • Tune and optimize

    Spark jobs

    and workflows for scalability and efficiency.
  • Collaborate with

    data engineers

    and

    product teams

    to deliver production-ready ML solutions.

Preferred Skills:

  • Strong hands-on experience in

    Python

    ,

    PySpark

    , and

    ML frameworks

    (Scikit-learn, XGBoost, MLlib).
  • Good understanding of

    ETL pipelines

    ,

    SQL

    , and

    data warehousing

    concepts.
  • Familiarity with

    cloud platforms (Azure)

    and tools like

    Docker

    ,

    Kubernetes

    , and

    MLflow

    .
  • Exposure to

    MLOps

    ,

    model deployment

    , and

    monitoring

    practices.
  • Excellent problem-solving, communication, and team collaboration skills.

Mock Interview

Practice Video Interview with JobPe AI

Start PySpark Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
Blackstraw Technologies logo
Blackstraw Technologies

Information Technology & Services

Silicon Valley

RecommendedJobs for You

noida, uttar pradesh, india