We are building a pipeline of talented Machine Learning Engineers for upcoming projects at TensorOps. While we may not have an immediate opening, we are continuously growing and would love to connect with strong candidates for future opportunities.
If you are passionate about ML systems, GenAI, and production-grade deployments, we’d love to hear from you.
About the role
We’re looking for Machine Learning Engineers who enjoy building practical, production-ready AI systems and collaborating on meaningful projects.
In this role, you will:
Take ownership of key components within ML and GenAI projects, with support from senior team members when needed
Contribute to architectural and technical decisions in a collaborative environment
Build scalable ML systems that move from experimentation to real-world application
Work with international clients to understand requirements and implement thoughtful technical solutions
Support and mentor junior team members as you grow in your own leadership journey
You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.
Technical Expertise
We’re looking for engineers with strong hands-on experience across:
Python: Writing clean, efficient, well-documented, production-quality code
Machine Learning Frameworks: Designing, training, optimizing, and deploying models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
GenAI & LLM Systems: Building RAG pipelines, chatbot architectures, and applications using tools like LangChain
MLOps & Production ML: Model versioning, monitoring, CI/CD for ML workflows
Cloud Deployments: Deploying and scaling ML systems on AWS, GCP, or Azure
Performance Optimization & Debugging: Diagnosing complex issues and improving system reliability and efficiency
Requirements
2+ years of professional experience in Machine Learning, AI Engineering, or a related role
Proven experience building and deploying ML models in production environments
Experience working with stakeholders or clients is a plus
Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
Master’s degree in AI, Machine Learning, Computer Science, or a related field is a strong plus
Equivalent practical experience building and deploying production ML systems will also be considered
What We Offer
100% Remote Work: Work from anywhere with flexibility and autonomy
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