AI Lead

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.
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,
Domain expertise of atleast one or more of the following domains: NLP, Computer Vision, Cyber Security (Data Science).
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.). Scale of 8/9 on 10.
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
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, APIs 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- APIs 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 APIs, Pandas, Numpy, Matplotlib, Seaborn, etc.
• 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