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.

Skills