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TensorOps
Mid AI Engineer
Remote · Full time · Mid level
About the role
Contribute to technical direction and mentor junior ML engineers. Design and deploy production ML and LLM systems for enterprise clients.
What you’ll do
• Design, build, and deploy production ML and LLM systems. • Own technical delivery end-to-end from architecture to deployment. • Work with client teams to translate business needs into solutions. • Mentor and support other ML engineers. • Shape internal best practices and represent TensorOps in client conversations.
What you’ll bring
• 2+ years professional experience in ML or AI Engineering. • Strong Python skills with production-quality code. • Experience with ML models and frameworks like PyTorch, TensorFlow. • Experience building GenAI & LLM systems such as RAG pipelines. • Familiarity with MLOps, CI/CD, and cloud deployment on AWS, GCP, or Azure.
Life at TensorOps
100% remote work with no mandatory office days. Funded AWS and GCP certifications. Urban Sports Club membership and monthly ride credits. Regular company events and offsites.
About TensorOps
TensorOps is a boutique AI consultancy designing and shipping production-grade AI systems for enterprise clients globally, including Fortune 500 companies and unicorns.