SE P1 043 - Senior Machine Learning Engineer

Summary: In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projectsDuties & Responsibilities: Selected candidate will be working on a 'Telecom Artificial Intelligence Product', on the latest cutting edge technologies!What we expect!Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustnessWork closely with other functional teams to integrate implemented systems into the SaaS platformSuggest innovative and creative concepts and ideas that would improve the overall platformCreate use cases with respect to domain for solving a business problemRequirements -5 –8 years of experience in developing AI/ML applications. Engineering/Mathematics/ Statistics disciplines are acceptable, but candidate must have strong quantitative and applied mathematical skills. Certification courses in Data Science/ML will be an added advantage.In-depth working, beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques.Implementation experiences and deep knowledge of Classification,Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization.Working experience on LLMOps for any GenAI LLM usecasewould be a clear added advantage.Experience in working on modelling graph structures related to spatiotemporal systemsExposure or Experience in building Recommendation engine in a large scaleProgramming skills in Python is a mustExperience in developing and deploying on one or more Cloud Environments (GCP/Azure/ AWS)Good verbal and written communication skillsFamiliarity with well-known Python packages like Pandas, Numpy, etc., and DL frameworks Keras, TensorFlow,PyTorch. And knowledge of Big Data tools and environment.Knowledge of MySQL/No SQL is an added advantageExperience on end to end ML models deployment in productionFamiliarity with Flask / Django FrameworkPre-Requisites / Skills / Experience Requirements: