Lead Ai Engineer

AVEVA

San Leandro, CA, United States
$213,500.00 - $425,500.00; not specified; not spec...
Hybrid
Ai/ml engineering experience
Deep learning frameworks expertise
Modern ai paradigms
This is a hands-on engineering lead role, focused on investigating, prototyping, and validating emerging AI technologies to drive innovation and real-world solutions

Job Summary

  • This is a hands-on engineering lead role, focused on investigating, prototyping, and validating emerging AI technologies to drive innovation and real-world solutions.
  • Key responsibilities include evaluating emerging AI technologies for practical applicability, developing and fine-tuning AI/ML models, and assessing AI approaches for scalability, reliability, cost, security, and operational feasibility.
  • AVEVA offers a comprehensive benefits package including flex work hours, PTO, parental leave, well-being support, medical, dental, vision, and 401K.

Matching Summary

This is a hands-on engineering lead role, focused on investigating, prototyping, and validating emerging AI technologies to drive innovation and real-world solutions.

Salary

$213,500.00 - $425,500.00; Not specified; Not specified

Skills & Requirements

Must-have

  • AI/ML engineering experience
  • Deep learning frameworks expertise
  • Modern AI paradigms
  • Industrial or enterprise use cases
  • Hands-on incubation experience
  • Architectural trade-offs

Nice-to-have

  • AI governance, security, compliance
  • MLOps practices
  • Cloud environments experience
  • Non-ideal real-world data
  • Enterprise and startup environments
  • Technical and scientific publications

Key Requirements

  • 12+ years AI/ML engineering experience
  • 4+ years technical lead position
  • Bachelor's degree in technical field
  • Proven track record leading AI/ML incubations
  • Expertise in Python
  • Experience with deep learning frameworks
  • Experience with state-of-the-art ML techniques
  • Experience with modern AI paradigms
  • Exceptional communication and presentation skills
  • Experience in industrial, IoT, manufacturing, energy, or asset-intensive domains

Work Rights

Not specified

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