Description

KEY RESPONSIBILITIES

• Develop, deploy, and maintain ML/DL models to solve business problems.

• Build end-to-end AI solutions, from data preparation and experimentation to production deployment.

• Apply GenAI and LLMs to develop intelligent business solutions.

• Work on demand forecasting, customer personalization, inventory planning, and operational optimization.

• Collaborate with business and engineering teams to deliver measurable outcomes.

MUST-HAVE SKILLS

• Strong proficiency in Python and SQL.

• Hands-on experience in Machine Learning, Deep Learning, and statistical modelling.

• Experience building and deploying production-grade ML models.

• Knowledge of forecasting, predictive analytics, or customer personalization.

• Experience working with cloud platforms and large datasets.

GOOD-TO-HAVE SKILLS

• Experience with GenAI, LLMs, prompt engineering, RAG, and AI agents.

• Familiarity with MLOps tools such as MLflow, CI/CD, and model monitoring.

• Knowledge of mathematical optimization and operations research.

• Experience in supply chain, inventory management, customer analytics, or delivery optimization

Key Skills

Education

Bachelor’s degree