AI Engineer (Applied AI / Machine Learning) || onsite in Palo Alto CA || 10+ year exp

Palo Alto, CA, US • Posted 17 hours ago • Updated 17 hours ago
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Python
  • Machine Learning (ML)

Summary

AI Engineer (Applied AI / Machine Learning)

 

Location:Palo Alto CA)

Experience : 10+

 

The Opportunity

We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data, models, and systems to deliver scalable, production-ready AI solutions.

 

Role Summary

Develop and operationalize machine learning and generative AI solutions, with a focus on model integration, evaluation, and production readiness.

 

What You’ll Do

  • Select, fine-tune (where needed), and integrate ML and foundation models into production systems
  • Design and manage the end-to-end ML lifecycle (data, experimentation, deployment, monitoring)
  • Build robust evaluation frameworks to ensure model quality and performance
  • Apply relevant techniques in NLP, LLMs, or computer vision depending on domain
  • Develop data pipelines, feature engineering workflows, and model serving infrastructure
  • Optimize performance, cost, and scalability across cloud and compute environments
  • Collaborate with cross-functional teams to deliver AI-powered features

Qualifications

  • Bachelor’s or Master’s in AI, Computer Science, Math, or related field
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience deploying ML models into production environments

Core Competencies

  • Machine Learning Development
  • MLOps & Model Operationalization
  • Data & Model Quality
  • Experimentation & Evaluation
  • Software Engineering
  • Technical Communication
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91001743
  • Position Id: 8959427
  • Posted 17 hours ago
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