Work as the data strategist with business stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

· Proactively look for unsolved, data-rich, high-impact business problems and create new opportunities in the AI solutioning pipeline.

· Evaluate feedback and challenging issues gathered by the business and technical teams and transform them into tractable problems to resolve.

· Participate in research paper publishing, Applied AI Competitions; organize hackathons and knowledge conferences/webinars. Work with Principal Data/OR Scientists to devise solution roadmaps and KPIs.

· Design, develop and evaluate highly innovative DL/ML & Stats based models.

· Establish scalable, efficient, and automated processes for DL/ML model development, model validation and model implementation.

· Conduct feature engineering and implement DL/ML models into production by collaborating with software developers and machine learning engineers.

· Develop processes and tools to monitor and analyse model performance and data accuracy.

· Assess the effectiveness and accuracy of new data sources and data gathering techniques.

· Aggregate data from multiple sources to provide a comprehensive assessment.

· Create reports, presentations, and process documents to display impactful results.

· Communicate solutions to stakeholders and implement improvements as needed to operational systems.

· Recommend go / no-go on problem statements based on preliminary data analysis in consultation with project stakeholders.

· Collaborate with AI Champion and Business Data Analyst to define and ratify data requirements and sources.

· Collaborate with AI Solution Managers, Principal Data Engineer, OR Scientist and Principal ML Engineer to build ML/DL models and data prototypes.

Experience

2-5 years of experience in Python/ R/ Scala and Statistical Analysis, Machine learning (Supervised and Unsupervised learning Techniques), neural networks, Deep Learning Techniques, Time-series analysis, NLP and chatbot systems, Reinforcement Learning, Model Optimization. Working knowledge of software development languages. Knowledge of Cloud Technologies is beneficial.

Education Qualification

PhD/MS/MTech in Computer Science/EE/Applied Mathematics/Optimization/other relevant disciplines involving computing and optimization. Experience with Reinforcement Learning and GenAI is preferred.