Ai/ml Engineering Manager

Caylent

Mexico, Mexico
On-site
10+ years machine learning experience
Aws sagemaker and bedrock expertise
Team hiring and performance management
Caylent is seeking an experienced AI/ML Engineering Manager to lead a team of ML engineers and architects, focusing on both technical and managerial aspects in cloud-native services using AWS. The ideal candidate should have extensive experience in machine learning, team management, and a strong understanding of AWS technologies

Job Summary

  • This senior role requires leading a team of ML engineers while simultaneously driving complex customer engagements and pre-sales activities.
  • The candidate must possess deep expertise in AWS ML ecosystems, including foundation model adaptation, RAG, and agentic system design.
  • Caylent offers a fully remote global environment that values technological curiosity and fosters a community celebrating diverse cultures.

Matching Summary

Match Score: 85

Caylent is seeking an experienced AI/ML Engineering Manager to lead a team of ML engineers and architects, focusing on both technical and managerial aspects in cloud-native services using AWS. The ideal candidate should have extensive experience in machine learning, team management, and a strong understanding of AWS technologies.

Skills & Requirements

Must-have

  • 10+ years machine learning experience
  • AWS SageMaker and Bedrock expertise
  • Team hiring and performance management
  • Generative AI and LLM architecture
  • Client-facing consulting engagements
  • MLOps and LLMOps implementation
  • Production ML system governance

Nice-to-have

  • AWS Certified Machine Learning Specialty
  • Experience with responsible AI practices
  • AIOps pattern fluency
  • Reference architecture development
  • Varied industry consulting exposure
  • Multi-agent system design
  • Cross-provider LLM reasoning

Key Requirements

  • 10+ years in ML or AI
  • Proven people management experience
  • Deep knowledge of AWS ML ecosystem
  • Expertise in GenAI and LLMs
  • Consulting or advisory capacity experience

Work Rights

Not specified

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