Senior Data Scientist NLP

Primary duties may include but are not limited to: · Write correct and clean code with limited guidance while ensuring following best practices. · Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes · Analyse and classify semi-complex change request and identify and documents system code enhancements. · Code and maintain different components of information systems. · Develop a general understanding of how the work fits in to the larger project and identifies problems or issues in requirements. · Effective Participation in scrum ceremonies like Daily Stand Up, Sprint Planning, Retroactive, Backlog Refinement etc · Collaborate effectively with DevOps team for code build and management · Review code effectively (PR Reviews) and contribute to coaching junior members of the team · Effective status updates on the work items and collaborate with Tech Leads to resolve any/all impediments for a given delivery. Requirements · Bachelors or Masters (in data science, Artificial Intelligence, Statistics, Computer Science, Physics, Mathematics or related quantitative disciplines)· Demonstrated experience in developing an end-end DS solution with focus on NLP embeddings- linear and non-linear, Vector Databases, fine tuning LLMs · Excellent software engineering skills with hands on python and coding standards · Minimum 3+ years of overall industry experience and experience coaching junior developers and setting best practices · In depth understanding and demonstrated use of evaluation metrics and picking the right model metrics for the right use case · Hands on experience in Linting, unit testing, and docker, CI/CD · Ability to deliver to short timelines and under pressure · Desire to become a technical SME · Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams · Eagerness to learn and stay current with industry trends, emerging technologies, and best practices in data science and cloud-based data warehousing #LI-VH2#J-18808-Ljbffr