Hybrid Senior AI/ML Engineer

Posted 2 weeks ago

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About the role

  • Architect AI systems that combine ML algorithms, LLMs, and orchestrated agents.
  • Collaborate closely with the Chief Science Officer, applied ML engineers, data engineers, PMs & Ops to transition prototypes to production.
  • Actively contribute to architectural decisions that ensure compliance, reliability, and scalability.
  • Stay actively informed about emerging technologies, frameworks, and methodologies in AI and ML.

Requirements

  • 5–8 years of experience as an ML Engineer, AI Engineer, or similar role.
  • Strong production-level Python skills (FastAPI, asyncio, testing, clean code structure).
  • Experience with PyTorch / Hugging Face Transformers.
  • Proven track record deploying ML models to production (fine-tuning, optimization, scaling).
  • Solid understanding of RAG, embeddings, and LLM APIs.
  • Strong MLOps culture (CI/CD, observability, Docker, AWS).

Benefits

  • Flexibility
  • Work life balance
  • Learning & Development
  • Career growth
  • Health & Wellness
  • Transportation & hotel costs
  • Meals
  • Home office setup
  • Time-off
  • Inclusion

Job title

Senior AI/ML Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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