Engineer - Ai/ml

CACI

Base: $79,400 - $162,700; bonus/equity: not specif...
Not specified
Implement machine learning algorithms
Analyze large multi-domain datasets
Train and deploy ml models
CACI is seeking an AI/ML Engineer to support the development of AI/ML algorithms across various applications, emphasizing computer vision, deep learning, and generative AI. The ideal candidate should have a strong educational background in machine learning or related fields and experience with AI/ML model development and deployment

Job Summary

  • The AI/ML Engineer will support projects in various places in the AI/ML model life cycle, from research and development to production.
  • Work as part of a team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers.
  • Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

Matching Summary

Match Score: 85

CACI is seeking an AI/ML Engineer to support the development of AI/ML algorithms across various applications, emphasizing computer vision, deep learning, and generative AI. The ideal candidate should have a strong educational background in machine learning or related fields and experience with AI/ML model development and deployment.

Salary

Base: $79,400 - $162,700; Bonus/Equity: Not specified; Benefits: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits

Skills & Requirements

Must-have

  • implement machine learning algorithms
  • analyze large multi-domain datasets
  • train and deploy ML models
  • cutting edge concepts
  • defense and commercial applications

Nice-to-have

  • culture of integrity
  • environment of trust
  • focus on continuous growth
  • flexible time off benefit
  • robust learning resources

Key Requirements

  • Bachelor's in machine learning, computer science, mathematics, electrical engineering
  • Strong understanding of AI/ML
  • Expertise with Generative AI, NLP, Computer Vision, Reinforcement Learning, Deep Learning
  • Experience designing, developing and debugging prototype AI systems
  • Expertise with model development life cycle

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