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About TensorOps:
- A boutique AI consultancy that bridges strategy and execution for enterprise clients.
- Has shipped AI systems impacting 200M+ end users daily and partnered with 11 unicorns.
- Fully remote team with a supportive, fast-growing culture.
About the Role:
- Design, build, and deploy production ML and LLM-based systems for enterprise clients.
- Own technical delivery end-to-end from architecture to deployment and iteration.
- Mentor and support other ML engineers through code reviews and technical guidance.
Requirements:
- 5+ years of professional experience in ML/AI Engineering.
- Strong hands-on Python skills and experience with PyTorch, TensorFlow, or LangChain.
- Proven experience deploying and scaling ML systems on AWS, GCP, or Azure.
What We Offer:
- 100% remote work with no mandatory office days.
- Funded AWS and GCP professional certifications.
- Urban Sports Club membership and monthly Bolt credits.
TensorOps
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.