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Centific - Artificial Intelligence Lead - Machine Learning (8-12 yrs)

8-12 years

Centific - Artificial Intelligence Lead - Machine Learning (8-12 yrs)

Centific

posted 18d ago

Job Description

Job Description :


Required skills :


- Very strong Graduate/Ph.D. level degree in Computer Science/or other engineering discipline from top tier schools

- Relevant experience of 8-12 years on live industry projects at enterprise level

- Extremely strong in Python Programming, Tensor flow, Sci-kit learn, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning (Scikit learn, NLTK, Scipy, etc.).

- Strong ability to manipulate data using Pandas/Numpy and other python libraries


- Should be able to support all data munging and cleansing activities as part of guiding and leading an AI-platform implementation team

- 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.


- Handle on CI-CD patterns of delivery and enterprise solution that uses Microservices, API's and Docker containers

- Strong hands-on skills in relational data bases. Ability to write SQL like queries to create new joins or data frames with a goal of framing the right business questions for the AI platform development team

- Ability to white board with clients all types of possible solutions end-to-end (front end- API's and Back end).

- Good handle on concepts of enterprise application architecture, solution architecture and enterprise architecture

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


- Databases : MySQL or any enterprise RDBMS


- Code Management : Git, Bitbucket, Jira, Confluence, etc.


- Operating System : Mac, Linux, Windows


- Cloud Technologies : Comfortable with Google Cloud, AWS and Azure


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

- Suggest & 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.

- Guide, coach and lead a cross-functional team of 4-6 engineers comprising of AI engineers, Full stack engineers, QA automation engineers and DevOps engineers.


Functional Areas: Other

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