remote
Implementation Engineer - Roboflow
Implementation Engineer
Implementation Engineer focused on deploying Python-based machine learning and computer vision solutions, ensuring seamless integration and performance across production environments.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines using Python and computer vision libraries.
- Collaborate with data scientists to translate models into scalable, production‑ready services.
- Optimize model inference performance on edge and cloud platforms.
- Integrate vision models with existing software stacks and APIs.
- Monitor, troubleshoot, and iterate on deployed solutions to meet SLAs.
Requirements
- Proficiency in Python and experience with libraries such as OpenCV, PyTorch, or TensorFlow.
- Strong background in computer vision techniques (object detection, segmentation, tracking).
- Hands‑on experience deploying ML models to cloud (AWS, GCP, Azure) or edge devices.
- Solid understanding of software engineering best practices, version control, and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningcomputer vision