Responsibilities

Build machine learning models for key areas such as:
- A/B Testing, Measurement Frameworks & Causal Modeling
- NLP, LLMs, Embeddings, and GenAI Chatbots
- Time-Series Forecasting & Anomaly Detection
- Optimization and Recommendation Systems
Research and propose innovative statistical/ML models aligned with business needs.
Analyze data trends and interpret them with clear business objectives in mind.
Develop and deploy ML/DL models in production or contribute to platform development.
Collaborate with engineering teams to operationalize Data Science projects.
Regularly communicate progress and findings to stakeholders.
Stay updated on emerging AI/ML technologies and methodologies.

Qualifications

Strong passion for technology, problem-solving, and analytics.
Proficient in coding and developing ML/DL solutions.
Ability to analyze data and present insights clearly.
Self-motivated with excellent communication and interpersonal skills.

What You’ll Gain

Hands-on experience in developing AI/ML solutions for real-world problems.
Exposure to e-commerce, finance, supply chain, and logistics challenges.
Opportunity to work in a dynamic, fast-paced environment with mentorship from experienced professionals.

Batch Eligibility: 2024, 2025(not sure)
Education Requirement: B.S. degree in Computer Science, Mathematics, Statistics
Technical Skills Required: Machine Learning, Deep Learning, A/B Testing, NLP, LLMs, Embeddings, GenAI, Time-Series Forecasting, Optimization, Recommendation Systems, Python, R, Data Analysis, Statistical Modeling, Data Visualization

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Intern