Data & AI Engineer - ML Engineer at CAPGEMINI ENGINEERING
Ontario, California, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Jun, 25

Salary

0.0

Posted On

26 Mar, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Natural Language Processing, Disabilities, Python, Classification

Industry

Information Technology/IT

Description

REQUIRED SKILLS:

  • We are looking for 1+ years of industry experience post PhD or 3+ years of industry experience along with post graduate degree of developing machine learning models with business impact.
  • Experienced with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python; experienced with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.

ENGINEERING, ALL FUELED BY ITS MARKET LEADING CAPABILITIES IN AI, GENERATIVE AI, CLOUD AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2024 GLOBAL REVENUES OF €22.1 BILLION.

Get the future you want | www.capgemini.com

Responsibilities

JOB RESPONSIBILITIES:

  • The candidate is responsible for obtaining tasks from the project lead or Team Lead for preparing functional and design specifications and getting them approved with all stakeholders.
  • Ensuring that assigned area/areas are delivered within set deadlines and required quality objectives.
  • Providing estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analysing scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
  • Leading functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addressing area-level risks, provides and implements mitigation plan.
  • Reporting about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
  • Responsible for resolving crisis situations within his/her AOR.
  • Initiating and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggesting technical and functional improvements to add value to the product;
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