TensorOps
11-50 employees
Artificial Intelligence
Machine Learning
Data Analytics
About TensorOps
TensorOps is a cutting-edge technology company specializing in artificial intelligence and machine learning solutions. The company focuses on providing advanced data analytics tools that empower businesses to harness the power of their data for better decision-making. With a mission to simplify complex data processes, TensorOps offers a range of products and services designed to optimize performance and drive innovation in various industries. Their team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of their clients.
4 days ago
Mid/Senior AI Engineer
Full-time
Senior
AI Engineer
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Description
- TensorOps is 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 AWS, GCP, and Azure.
- We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months.
- We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design.
- 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.
- In this role, you will 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, work directly with client engineering and product teams, mentor and support other ML engineers, help shape internal best practices, and represent TensorOps technically in client conversations.
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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, writing clean, efficient, well-documented, production-quality code
- Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
- Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain
- Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows
- Experience deploying and scaling ML systems on AWS, GCP, or Azure
- Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)
- Experience working with stakeholders or clients is a plus
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Benefits
- 100% Remote Work: no mandatory office days, work from wherever
- Funded certifications: fully paid AWS and GCP professional certifications
- Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
- International Clients: Collaborate with global organizations and solve real-world challenges at scale
- Urban Sports Club Membership: Supporting your physical and mental wellbeing
- Monthly Bolt Credits: For rides
- Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate