Machine Learning Developer

Machine Learning Engineer DataOps is a centralized customer support team within Technology Reference Data Group, that is focused on solving important and complex problems related to Infrastructure Data. We are seeking an experienced Machine Learning engineer to closely work with us in transforming the customer support process. Primary responsibility will include building chatbot using Generative AI. We have built a collaborative, trusting, thought-provoking team environment, the candidate needs to be a quick learner and enthusiastic to implement new ideas and techniques into the project. Ideal candidate must have: At least 5+ yrs of Python programming experience using its libraries and frameworks while contributing to meet significant project milestone. Hands-on experience in AI ML, Natural Language Processing (NLP), optimizing and fine-tuning models to improve results, capability to analyze datasets, develop, deploy and maintain automated data pipeline. Proficiency with text data pre-processing, parsing data from different sources like Web pages, Confluence, Jira, API etc. Knowledge and passion towards experimenting with various Gen AI Large language models (LLM), LangChain, Llamaindex, RAG, Prompt Engineering, Transformer architecture. Familiarity with cloud platforms like AWS, Azure in leveraging large scale model training. Ability to influence architectural decisions while ensuring a resilient, reliable and scalable, maintainable solution is built. Experience with GIT/BitBucket, writing SQL queries and scripts for data handling. Analytical and critical thinking ability and be comfortable dealing with ambiguity and fast changing environment. Awareness of software development methodologies such as agile, scrum.