Centific - Generative AI Engineer - Data Modeling

Role : GenAI Engineer The next frontier of AI begins with Centific : Centific is a Seattle-based tech company pioneering the future of AI one breakthrough at a time. Learn how we're transforming the world through safe and scalable AI and empowering businesses to unlock the full potential of their data. Key Responsibilities : - Ideate and formulate a pragmatic blueprint for enterprise AI platform solution and subsequent development using Deep learning with a cross-functional team of talented engineers, Motivated self-learner. - Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient AI based solutions for business problems. - Implement best practices in coding, collaborating and maintaining code repositories. - Maintain quality and ensure responsiveness of AI platforms. - Provide real time knowledge transfer to the team on the Requirements based on client facing meetings and white boarding workshops. - Help in writing a comprehensive proposal with the help of the other engineers on the project. - Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines. - Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity. - Work collaboratively with a cross functional team of engineers under the guidance of an AI platform lead. Required skills : - Very strong engineering degree (Graduate/Masters) in Computer Science/or other engineering discipline from top tier schools. - Relevant experience of 5 years on live industry projects at enterprise level. - Extremely strong in Machine Learning- and Deep learning fundamental & advanced concepts and should be able to code/implement the same. - Domain expertise of at least one or more of the following domains: NLP, Computer Vision, Cyber Security (Data Science). - Extremely strong in Python Programming, Tensor flow/Keras or PyTorch and other relevant Python Libraries for AI (Scikit learn, NLTK, Scipy, etc.). Scale of 8/9 on 10. - Extremely Strong ability to perform EDA, manipulate data using Pandas/Numpy and other python libraries, should be able to support all data munging and cleansing activities. - Strong ability to present data analysis and findings to the business stakeholders and suggest solutions. - Very strong experience building NLP models using Transformer based Deep Learning architectures - Very strong exposure and experience with LLMs, Prompt engineering, instruction based few shot learning, different approaches of fine-tuning and knowledge of training LLM models. - Very strong Experience with deploying custom LLM models instances, evaluation of different LLMs for business specific tasks - Very strong experience in building RAG based business solutions using LLMs - Very strong experience in building Conversational AI chat bots using tools like LangChain - Experience in working in Agile methodology in a very high-performance coding environment with high level of automation desirable - Extremely adept at object-oriented programming in Python - Knowledge on CI-CD patterns of delivery and enterprise solution that uses Microservices, API's and Docker containers is a big plus Tools & Technologies : - Python, TensorFlow, Keras, PyTorch, Django/Flask based API's, Pandas, Numpy, Matplotlib, Seaborn, etc. - Transformer based Deep Learning architectures, any LLM(s), Conversational AI with LangChain - Code Management : Git, Bitbucket, Jira, Confluence, etc. - Operating System : Mac, Linux, Windows - Cloud Technologies : Comfortable with Google Cloud, AWS and Azure (ref:hirist.tech)

Location: chennai, IN

Posted Date: 1/29/2025