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


Start Date

Immediate

Expiry Date

27 Jun, 25

Salary

65200.0

Posted On

27 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Classification, It, Disabilities, Natural Language Processing, Python, Availability, Commission

Industry

Information Technology/IT

Description

YOUR SKILLS AND EXPERIENCE

  • Experience with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python. Experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.
  • Seeking to create meaningful change through a collaborative and impactful strategy.

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

YOUR ROLE

  • Receives tasks from the project lead or Team Lead (TL), crafts functional and design specifications, gets approval from all collaborators.
  • Ensures that assigned area/areas are delivered within the defined timelines and required quality objectives.
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
  • Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
  • Responsible for resolving crisis situations within their AOR and constantly improve their professional level.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggests technical and functional improvements to make valuable contributions to the product.
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