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aws python kubernetes tensorflow pytorch📋 Description
- Lead end-to-end ML assessments across infra, data, model lifecycle.
- Partner with sales/solutions during proposals to shape statements of work.
- Act as senior technical authority across engagements; provide architecture guidance.
- Own or orchestrate high-quality proofs of concept to build customer confidence.
- Advise on ML operations standards including MLOps, LLMOps, and monitoring.
- Help Caylent win technically complex opportunities with credible architecture.
🎯 Requirements
- 10+ years in ML/AI with client-facing engagements.
- Deep AWS ML and GenAI knowledge; full ML lifecycle decisions.
- Deep expertise in 2-3 ML domains (CV, NLP, time series).
- Architect & govern production ML systems; MLOps/LLMOps.
- Foundation model adaptation (LoRA/QLoRA/PEFT), RLHF, vLLM, RAG; agentic design on AWS.
- AWS ML Specialty and/or AWS Solutions Architect – Professional certification.
🎁 Benefits
- 100% remote work
- Private Health Insurance
- Flexible Time Off
- Competitive phantom equity
- Paid for exams and certifications
- Equipment & Office Stipend
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