Role Overview
We are looking for a Data Science & Machine Learning Engineer with strong expertise in Python, Machine Learning, and large-scale data processing to build intelligent, data-driven solutions and recommendation systems. The ideal candidate should be passionate about solving business problems using data and AI technologies.
Responsibilities
- Develop and optimise machine learning and recommendation models.
- Analyse large datasets and derive actionable insights.
- Build scalable data pipelines and data processing workflows.
- Evaluate model performance and conduct experiments/A/B testing.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Write clean, maintainable, and production-ready code.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Applied Mathematics, Information Technology, or a related quantitative field.
- Minimum 80% aggregate throughout academics (10th, 12th, and Graduation preferred).
- Relevant internships, academic projects, or industry experience in Data Science, Machine Learning, AI, or Python development is preferred.
- Strong problem-solving and analytical thinking.
- Ability to work in a team and coordinate with onshore teams.
Skills
- Python
- Scikit-learn
- PySpark
- SQL
- Machine Learning
Benefits
- Health Insurance
- Cell phone reimbursement
- Food provided
- Provident Fund
- Paid time off and sick time
- Flexible schedule
- Occasional Work From Home options