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, 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

1.     Python, TensorFlow, Keras, PyTorch, Django/Flask based API’s, Pandas, Numpy, Matplotlib, Seaborn, etc.

2.     Databases: MySQL or any enterprise RDBMS

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

4.     Operating System: Mac, Linux, Windows

5.     Cloud Technologies: comfortable with Google Cloud, AWS and Azure