Description

You will build and operationalize machine learning models for production use.

This role is on-site.

Responsibilities

• Develop and train ML models for classification, regression, NLP, or recommendation tasks.
• Perform data cleaning, pre-processing, feature engineering, and exploratory data analysis.
• Implement and test ML pipelines using Python and related libraries.
• Deploy ML models using basic APIs or cloud services like AWS, GCP, or Azure.
• Monitor model performance and debug model issues in collaboration with the engineering team.

Required Skills

• 2+ years of hands-on experience in AI/ML development and data analysis.
• Proficiency in Python.
• Experience with TensorFlow and PyTorch.
• Strong skills in data manipulation using Pandas and NumPy.
• Working knowledge of Scikit-learn.
• Familiarity with SQL and Git version control.
• Hands-on experience with AWS services.

Preferred Skills

• Exposure to NLP, computer vision, or LLM-based projects.
• Basic knowledge of MLOps tools like MLflow, Docker, or Airflow.

Key Skills

Education

Any Graduate