Machine Learning Operation Manager

We are looking for a Machine Learning Operation Manager to lead and scale our AI Engineering & MLOps function. The role blends deep technical execution with team and cross-functional collaboration.

Requirements

• 5+ years of strong experience in MLOps, ML/AI Engineering.
• Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra.
• Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes).
• Comfortable working on both training-side infra and inference-side systems.
• Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM).
• Proven ability to lead complex technical projects end-to-end with minimal oversight.
• Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity.
• Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces.

Benefits

• Competitive salary and annual bonus
• Medical coverage
• Life and accidental insurance
• Vacation & leaves of absence (menstrual, flexible, special, and more!)
• Developmental opportunities through education & developmental reimbursements & professional workshops
• Maternity & parental leave
• Hybrid & remote model with flexible working hours
• On-site & remote company events throughout the year
• Tech & WFH stipends & new hire allowances
• Employee referral program
• Premium access to QuillBot