IT - Lead II - ML Engineering

Machine Learning Solutions Developer

Design and develop ML solutions that will enable intelligent experiences and provide value. Formulate AI scope by working collaboratively with business, technology, and product teams to understand the product objectives. Identify and formulate business problem to AI / ML related problems; identifying and communicating AI Scope with stakeholders. Executes relevant data wrangling activities related to the problem. Conduct ML experiments to understand the feasibility; building baseline models to solve the business problem. Fine tune the model for optimum performance. Test Models internally per acceptance criteria from business. Identify areas and techniques to optimize the model based on test results. Document relevant artefacts for communicating with the business. Work with data scientists to deploy the models. Work with product teams in planning and execution of new product releases. Set OKRs and success steps for self/team and provide feedback of goals to team members. Identify metrics for validating the models, with the ability to communicate the same in business terms to the product teams. Keep track of trends and do rapid prototyping to understand the feasibility of using it in existing solutions. Visualise and build more complex models / solutions which address scalable solutions. Work with product teams in planning and execution of new product releases. Mentor junior data scientists in their delivery solutions.