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