Principal AI/ML Architect

📋 Description

• Lead end-to-end ML assessments across infra, data pipelines, and model lifecycle.
• Provide technical depth to shape proposals and statements of work.
• Serve as senior technical authority on client engagements; guide architecture.
• Own or orchestrate high-quality POCs to build customer confidence.
• Advise on ML ops standards, lifecycle, LLMOps, and production monitoring.
• Shape Caylent's most complex opportunities with architectural credibility.

🎯 Requirements

• 10+ years in ML/AI with a proven track record leading client-facing engagements.
• Deep AWS ML and GenAI knowledge; architect across the full ML lifecycle.
• Deep expertise in 2–3 ML domains (e.g., traditional ML, CV, NLP).
• Architect and govern production ML systems end-to-end (MLOps/LLMOps).
• Expert in foundation model adaptation (LoRA/QLoRA/PEFT), RLHF, DeepSpeed.
• Able to operate independently in complex customer environments.

🎁 Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards