Job Details

AI Platform Lead

Pactera EDGE
New York, New York, United States
About Pactera EDGE - Pactera EDGE is a global organization with offices in the US, Europe, India, and Asia-Pacific. Clients include 100+ of the Global 500 companies, with industry concentration in Software and Technology, CPG, Retail, Logistics, Financial Services, Insurance, Healthcare, Food Beverage, and Travel Hospitality. With a core focus on Data, Intelligence, and Experience, Pactera EDGE helps clients achieve new levels of performance while adding brand new digital business capabilities to drive relevance, revenue, and growth. With the clarity of vision, technological expertise, operational excellence, and a global footprint, Pactera EDGE is the partner of choice for enterprises that want to run smarter ndash and for those that want to change the race. Website - https https This role is called AI Platform Lead which like a very hands-on Technical Project Manager with very sophisticated and diverse skills needed to lead a team that is building an Enterprise AI Platform. 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 built by Pactera Edge 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 GraduatePh.D. level degree in Computer Scienceor 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.). Scale of 89 on 10. Strong ability to manipulate data using PandasNumpy 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, APIrsquos 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- APIrsquos and Back end). Good handle on concepts of enterprise application architecture, solution architecture and enterprise architecture Tools Technologies Python, TensorFlow, Keras, PyTorch, DjangoFlask based APIrsquos, 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

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