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About TensorOps:
- We are a boutique AI consultancy that bridges strategy and execution.
- We design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns.
- Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products deployed on major cloud platforms.
About the role:
- We are hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements.
- You will work directly with clients, taking AI systems from prototype to production-grade deployment.
- You will mentor a growing team of junior ML engineers and help shape internal best practices.
Requirements:
- 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior.
- Strong hands-on skills in Python and production-quality code, plus experience building GenAI & LLM systems.
- Familiarity with MLOps practices and deploying 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, monthly Bolt credits, and regular company events and offsites.
TensorOps
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.