We're hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration
Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions
Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing
Help shape internal best practices, tooling, and technical standards as the team grows
Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences
You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.
Qualifications
2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior