Define the strategic direction, conceptualize and architect business solutions around service delivery optimization, including reactive support, proactive/predictive maintenance, and usage driven service optimization.
Provide an outside in perspective on Customer and Market direction and reflect this in both Architecture and Quality focus.
Use Machine Learning and related AI areas in maximizing the use of data to develop system insights and build smart systems in the areas of service delivery optimization and Engineering Analytics
Work across multiple business units, stakeholders and technologists in roadmap definition, architecture and achieving desired outcomes.
Drive Innovation across the Lab in the focus areas
Mentor Next level of Architects and play an active role in the TCP community
PhD or Masters degree in Machine Learning / Data Science / Statistics/ Computer Science/ related field with 4+ years of experience.
Deep knowledge of fundamentals of AI, Machine / Deep Learning, Data Mining and Predictive Modelling is required with solid experience in applying these techniques on real world problems
Strong skills in software engineering with expertise in applicable programming languages and frameworks such as XGBoost, Pytorch, Tensorflow, Keras.
Strong analytical, written and verbal communication skills.
Demonstrated ability to propose novel solutions to problems, performing experiments to prove feasibility of solutions and working to refine the solutions into real world context.