Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning, Python.
India Jobs Expertini

Urgent! Machine Learning, Python Job Opening In India, India – Now Hiring Confidential

Machine Learning, Python



Job description

Key Responsibilities:

  • Design, build, and deploy machine learning models for classification, regression, clustering, recommendation, or NLP use cases.
  • Develop and maintain data pipelines and feature engineering workflows using Python and associated libraries.
  • Use frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost to build and train models.
  • Conduct model validation, hyperparameter tuning, and performance evaluation (accuracy, recall, F1, ROC, etc.).
  • Collaborate with data engineers to handle large datasets using tools like Pandas, NumPy, SQL, and Spark.
  • Deploy models to production using APIs, containers (Docker), or cloud platforms (AWS/GCP/Azure).
  • Monitor, maintain, and retrain models as needed to ensure reliability and accuracy.
  • Document your research, code, and experiments clearly and reproducibly.

Mandatory Skills:

  • Proficiency in Python and libraries such as scikit-learn, Pandas, NumPy, Matplotlib, etc.
  • Strong foundation in machine learning algorithms and statistical methods
  • Experience with model development, training, and evaluation pipelines
  • Understanding of data preprocessing, feature engineering, and data wrangling


Skills Required
Pandas, Numpy, Matplotlib, Sql


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Machine Learning Potential: Insight & Career Growth Guide