Overview

Roles and Responsibilities:

Responsibilities

• Conduct experiments using popular ML libraries and frameworks.
• Support the team in model evaluation, optimization, and deployment.
• Create and maintain documentation for models, code, and results.
• Collaborate with cross-functional teams to integrate ML models into applications.

Qualifications

• Basic understanding of Python and libraries like NumPy, Pandas, Matplotlib, etc.
• Familiarity with machine learning algorithms (e.g., regression, classification, clustering).
• Hands-on experience with scikit-learn, TensorFlow, or PyTorch (beginner level acceptable).
• Knowledge of data preprocessing techniques and model evaluation metrics.
• Strong analytical and problem-solving skills.
• Eagerness to learn and apply AI/ML concepts to practical use cases.
• Bonus Skills (Nice to Have):
• Familiarity with Jupyter Notebooks, Google Colab, or Kaggle.
• Exposure to ML Ops, model deployment, or cloud platforms (AWS/GCP/Azure).
• Participation in AI/ML competitions or academic projects.
• Job Type: Full-time
• Pay: ₹5,000.00 - ₹7,000.00 per month
• Work Location: In person