Computer Vision Engineer
Vor 2 Tagen
We're a cutting-edge SaaS startup revolutionizing the construction and solar industries with our AI-powered data processing cloud platform. Our mission is to empower roofers and solar planners with digital tools that drive informed decision-making and shape the future of construction technology.
Job DescriptionWe're seeking a talented mid-level Computer Vision Engineer to join our dynamic team. As a key member of our engineering team, you'll work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and automatic geometry reconstruction.
Key Responsibilities- Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
- Collaborate with our engineering teams to integrate machine learning models into our platform.
- Work under the supervision of the Head of Machine Learning in a cross-functional team to solve business challenges with data-driven solutions.
- Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.
- Implement data preprocessing, model training, deployment, and monitoring.
- 3-4 years of experience in data science and machine learning, including Computer Vision and Deep Learning.
- Skilled in the full ML lifecycle: data preprocessing, model training, evaluation, deployment, and monitoring.
- Expertise with conda environments and MLflow (or similar tools).
- Proficient in Python, Git/GitHub, Docker, Kubernetes, and cloud platforms.
- Strong problem-solving abilities with a proven track record of delivering data-driven insights.
- Excellent communication and teamwork skills.
- Quick learner, adaptable to new tools, techniques, and challenges.
- Recent funding ensuring stability and growth.
- Impressive scale with 1,500 projects processed monthly.
- Award-winning innovation recognized in 2023 and 2024.
- Comprehensive benefits package including fully paid Urban Sports membership, company pension plan, self-development budget, and Lunchit vouchers.
- Remote work flexibility with the possibility to work remotely by contract.
Send us your CV or the link to your LinkedIn profile, and our lovely Hazal from People & Culture will get in touch with you.
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