Key Responsibilities:
- Develop, train, and deploy machine learning models for real business problems
- Perform data preprocessing, feature engineering, and model evaluation
- Implement supervised and unsupervised learning algorithms
- Optimize model performance, accuracy, and scalability
- Collaborate with data analysts, software developers, and product teams
- Build and maintain ML pipelines and workflows
- Deploy models using Flask / FastAPI and integrate with applications
- Monitor model performance and retrain models as needed
- Document models, experiments, and technical processes
Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, Data Science, AI, or related field
- 0–2 years of experience (Freshers with strong ML projects can apply)
- Strong proficiency in Python
- Hands-on experience with NumPy, Pandas, Scikit-learn
- Understanding of machine learning algorithms (Regression, Classification, Clustering)
- Knowledge of data preprocessing and feature engineering
- Familiarity with SQL and databases
- Strong analytical and problem-solving skills
