Centific - Generative AI Engineer - Data Modeling (5-10 yrs)

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