Computer Vision Engineer developing AI - driven image analysis and 3D vision solutions in Malmö. Collaborating with clients and optimizing performance for various industries and applications.
About the role
- Develop complex machine learning solutions to prevent workplace accidents at Buddywise. Join a fast-moving team focused on AI, computer vision, and industrial safety.
Responsibilities
- As a part of our Engineering team, you will work on developing models and systems to solve complex Safety issues in complex Industrial environments.
- You will develop new models for new use cases and refine existing designs to accommodate changing behaviours.
- You will bring the SOTA models, techniques and guidelines to the team to keep up with the rapidly changing ML world.
Requirements
- 5+ years of experience delivering software services powered by machine learning
- Experience working with cloud infrastructure such as AWS, GCP or Azure
- Fluent in Python; Demonstrated experience managing the technical direction of a software system
- Experience in coaching and mentoring senior engineers
- Hands-on experience with modern ML frameworks (e.g., PyTorch)
- Proven experience delivering ML/CV models to production environments, including: Model compilation & optimization (e.g., TensorRT, ONNX Runtime) for accelerated inference.
- Containerization using Docker for reproducible and scalable deployments
- Knowledge of MLOps concepts and tools for data labeling, experiment tracking, pipeline orchestration, CI/CD, and production monitoring. Eg: LabelStudio, WandB, Grafana, GitHub Actions, MLflow, Docker.
- Solid understanding of the full ML model lifecycle including feature engineering, model training & evaluation, deployment, diagnostics, and ongoing monitoring.
- Experience building scalable data pipelines for ML-based data processing
- Experience developing and maintaining services under SLA
- Analytical mindset with a problem-solving approach
- Passion for solving customer challenges quickly while making thoughtful architectural decisions
- Adaptability and resilience when facing new or ambiguous challenges
- Ability and willingness to work in a hybrid capacity from our Berlin office 3 days a week.
Benefits
- High ownership, high impact role in a purpose-driven, high-growth startup.
- Opportunity to shape the machine learning function.
- Berlin based hybrid setup with flexibility for focus work.
- A committed team environment where your growth is a priority.
- The chance to directly influence industrial safety and help employees go home safely every day.
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