Senior AI/ML Computational Science Lead

Archer

Mountain View (CA)

Sur place

USD 94 000 - 294 000

Plein temps

Il y a 2 jours
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Résumé du poste

Archer, collaborating with Accenture, seeks an Artificial Intelligence and Machine Learning specialist to translate real‑world problems into scalable AI and ML solutions in Mountain View, CA. You will develop and deploy AI models, collaborate with cross‑functional teams, and leverage NLP, ML, and data analysis to deliver impactful AI‑driven results.

Responsibilities include designing system specifications, building AI services, and deploying production models with a focus on scalability and

Qualifications

  • Extensive experience in Data Analysis, Statistics, ML or CS.
  • Strong background in ML/DL and NLP applications.
  • Experience with cloud AI services and AI infrastructure.

Responsabilités

  • Collaborate with stakeholders to engineer AI solutions for new roll-outs and maintenance.
  • Develop specifications, test plans, and manage projects for assigned scope.
  • Design and build AI solutions using advanced ML/AI techniques.
  • Deploy models to production ensuring scalability and reliability.
  • Design agents and multi-agent architectures to optimize client workflows.
  • Travel may be required (0–100%).

Connaissances

Data analysis
Statistics
Machine learning
Deep learning
NLP

Formation

Bachelor's degree or equivalent (minimum 12 years) work experience
Associate’s Degree with minimum 6 years work experience

Outils

Cloud AI services
Agentic architectures
Conversational AI
AI model deployment

Description du poste

Archer, collaborating with Accenture, seeks an Artificial Intelligence and Machine Learning specialist to translate real‑world problems into scalable AI and ML solutions in Mountain View, CA. You will develop and deploy AI models, collaborate with cross‑functional teams, and leverage NLP, ML, and data analysis to deliver impactful AI‑driven results.

Responsibilities include designing system specifications, building AI services, and deploying production models with a focus on scalability and

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