Tech Lead, Model Training Platform
Skills
- Technical leadership experience (team/architecture ownership)
- Strong software engineering (Python preferred)
- Practical MLOps experience (model versioning, metadata, lifecycle)
- Containerization and orchestration (Docker, Kubernetes)
- CI/CD design and automation
- Cloud platform experience (AWS/Azure) and GPU/TPU familiarity
- Observability and monitoring best practices
Responsibilities
- Lead architecture and implementation of ML model ingestion and metadata tooling
- Design and maintain offline and online model testing pipelines
- Build and operate infrastructure for scalable, safe model deployment and serving
- Define and enforce model governance, versioning and observability standards
- Collaborate with ML researchers, data scientists, product and DevOps to ensure reproducibility and model quality
- Mentor and grow engineering talent and contribute to the AI infrastructure roadmap
Education
- Bachelor's degree in Computer Science, Engineering or related field, or equivalent practical experience
Benefits
- Hybrid working policy with office collaboration and remote flexibility
- Competitive salary and equity package
- Comprehensive health and wellness benefits
- Learning and development budget
- Generous leave and flexible working hours
- Supportive, diverse and inclusive company culture
Average salary estimate
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