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
Ashok Kumar•Editor•
