MLOps Engineer scaling AI/ML solutions across game studios at Stillfront. Collaborating with teams to operationalize machine learning solutions for a diverse gaming portfolio.
About the role
- Senior Machine Learning Engineer at greehill developing ML solutions for sustainable urban living. Leading projects in Computer Vision and Deep Learning to transform urban environments.
Responsibilities
- Own the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
- Lead the development of efficient, scalable training and inference pipelines
- Mentor junior ML engineers, reviewing code and sharing best practices
- Collaborate cross-functionally with data engineers, product teams, and remote sensing experts
- Drive performance optimization for large-scale ML workflows and data processing pipelines
- Contribute to strategic technical decisions around model deployment and MLOps
- Stay at the forefront of Machine Learning research and apply it to real-world sustainability challenges
Requirements
- 5+ years of professional experience in Machine Learning, ideally with deep expertise in Computer Vision
- Strong proficiency in Python and PyTorch
- A track record of successful delivery of production-grade ML systems
- Strong foundation in algorithms, data structures, and ML system design
- Excellent problem-solving skills and a bias for action
- Experience with CI/CD, model versioning, and model deployment at scale
- Proven experience working on cloud infrastructure (Azure preferred)
Benefits
- Emplois de bureau à l'étranger
- Opportunités de croissance professionnelle
- Équipe passionnée
- Environnement dynamique
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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