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AI Project Lead

Technologie de l'information

408 jours | New York, New York, United States | PACTERA EDGE

AI Project Lead

408 jours | New York, New York, United States | PACTERA EDGE

PACTERA EDGE

Date de début :septembre 09

Appliquer avant :octobre 10 2020

Industrie : Technologie de l'information,

Type :Temps plein

Description du poste

Title: AI Project Lead

Location: New York

Job 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 nova IQ
  • Provide real-time knowledge transfer to the team on the Requirements based on client-facing meetings and whiteboarding 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.

Job Requirements:Required skills

  • Very strong Graduate level degree in Computer Science/or another engineering discipline from top tier schools
  • Relevant experience of 8-12 years on live industry projects at the enterprise level
  • Extremely strong in Python Programming, Tensor flow, Sci-kit learns, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning (Scikit learn, NLTK, Scipy, etc.). The 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 a 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 databases. 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 whiteboard 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.
  • 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

Thank you, Jaya Krishna, || Sr Talent Acquisition Specialist

www.Pactera.com

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