Mid AI Engineer

Description: Join TensorOps as a Mid/Senior ML Engineer to contribute to technical direction and mentor junior ML engineers. Design, build, and deploy production ML and LLM-based systems for enterprise clients, ensuring end-to-end technical delivery. Requirements: 2+ years of experience in Machine Learning or AI Engineering (5+ years for Senior). Strong skills in Python and experience with ML frameworks like PyTorch, TensorFlow, and Scikit-learn. Proven experience with GenAI & LLM systems, MLOps practices, and deploying ML systems on AWS, GCP, or Azure. Strong debugging and performance optimization skills; client interaction experience is a plus. Benefits: 100% remote work with no mandatory office days. Funded certifications for AWS and GCP. Work on dynamic, high-impact projects with international clients. Urban Sports Club membership and monthly Bolt credits for rides. Regular company events and offsites for team bonding.