Data Scientist
Current. Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOpsprocesses, including model deployment and data pipelines.· Closely collaborate with business stakeholders to implement AI driven product components and func-tionality.· Communicates findings and obstacles to team members to achieve best approach. Ability to write aclean and production code with Object Oriented Programming in Python.· Used Git as source code management tool:… Show more . Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOpsprocesses, including model deployment and data pipelines.· Closely collaborate with business stakeholders to implement AI driven product components and func-tionality.· Communicates findings and obstacles to team members to achieve best approach. Ability to write aclean and production code with Object Oriented Programming in Python.· Used Git as source code management tool: creating local repo, cloning the repo, adding, committing,pushing the changes in the local repo, saving changes for later (Stash), recovering files, branching,creating tags,etc.· Conducting data analysis, preprocessing, and modeling to extract valuable insights and built a modelbased on LLM , Fine- tuning and validate result with other train model.· Drive end-to-end ML/AI product developments with a team. Transform train Machine learning modelto production grade capabilities in collaboration with engineering teams.· Execute experiments to test the performance, resilience, and adaptability of machine learning/deeplearning models, employing suitable metrics and statistical methods for result interpretation.Design, develop, and deploy production-grade APIs that are fast, reliable, and secure, ensuring high-quality code that meets the highest standards of quality and reliability Show less