About OSeven
At OSeven, we envisage a world with zero traffic accidents, and we are here to make it real, one mile at a time!
We are a VC backed company and member of the Endeavor global network, providing pioneering smartphone telematics and driving behavior analytics, for leading insurance, banking, automotive and fleet companies around the globe.
We create responsible, safe and eco drivers and raise driving awareness to the society through new proactive and innovative mobility solutions focusing on customer engagement and constant improvement.
Our world class AI-enabled, Big Data analytics platform, analyzes data collected from different sources (smartphone, OBD, connected cars etc.) which can determine the driving risk and different mobility patterns. Leveraging advanced Machine Learning, we achieve with great accuracy the detection of several risk factors including aggressive braking & acceleration events, speed limit violations and mobile use while driving.
We have successfully completed 4 funding rounds and our solution is already implemented in projects / products in more than 20 countries now and counting, partnering with major international brands in the industry.
Role
We are seeking a talented and experienced Machine Learning Engineer with a strong background in Computer Vision to develop a backend cloud API in Python. The primary responsibility is to process images sent from a mobile application to perform image segmentation, detection and classification tasks. The role requires proficiency in Python, Keras, FastAPI, OpenCV.
Key Responsibilities
- Develop and maintain a cloud-based backend API using FastAPI to handle image processing requests.
- Implement image processing algorithms for background removal, glare detection, occlusion detection, and image classification using Python, Keras, Tensorflow and OpenCV.
- Optimize and scale the API for performance are reliability in a cloud environment.
- Collaborate with frontend developers to ensure seamless integration with the mobile app.
- Design and implement tests to ensure robustness and accuracy of the image processing functionalities
- Monitor and troubleshoot production issues, ensuring minimal downtime and high availability.
Requirements
Must have skills:
- Bachelor's degree in Electrical Engineering, Computer Science or a related field. Master’s degree or Ph.D. in a Machine Learning related area preferred.
- 2+ years of professional experience in developing and deploying machine learning models, particularly computer vision, in production.
- Proven knowledge of Python programming.
- Solid knowledge of supervised and unsupervised learning algorithms for Computer vision tasks, and performance evaluation schemes for Machine Learning models.
- Experience with Deep Learning frameworks (TensorFlow, Keras or PyTorch) and OpenCV.
- Experience in developing RESTful APIs using FastAPI or similar frameworks.
- Familiarity with cloud platforms (AWS, GCP, Azure) and deploying machine learning models in a cloud environment.
- Familiar with version control systems (Git).
- Strong problem-solving skills and ability to work independently as well as part of a team.
Nice to have:
- Experience with C++
- Experience building end-to-end ML systems.
What we offer
- Highly competitive salaries reviewed upwards on a regular basis based on company’s targets
- Stock options or bonus scheme subject to seniority level
- Health Insurance and Pension Plan
- International well-known and cool team
- Rapid personal and professional development amongst groundbreaking industry experts
- Technological challenges
- Latest communication and project management tools
- Great workspace in a very good location
- Flexible working conditions (e.g. Work From Home)
- Free drinks and team social events
Top Skills
What We Do
At OSeven, we envisage a world with zero traffic accidents, and we are here to make it real, one mile at a time!
We are a VC backed company and member of the Endeavor global network, providing pioneering smartphone telematics and driving behavior analytics, for leading insurance and automotive companies around the globe.
Our world class AI-enabled, Big Data analytics platform, analyzes data collected from different sources (smartphone, OBD, connected cars etc.) which can determine the driving risk and different mobility patterns. Leveraging advanced Machine Learning, we achieve with great accuracy the detection of several risk factors including aggressive braking & acceleration events, speed limit violations and mobile use while driving. On top of cutting-edge telematics, our solution, the first of its kind globally, offers advanced gamification and loyalty reward schemes to motivate safer and more eco behaviors within a mutually beneficial ecosystem. Our scoring model, trusted and validated by leading multinational brands in the insurance and automotive industry, is based on over 25 years of acknowledged research of our award-winning transportation and driving behavior engineering team. Through our solution, our clients are enabled to grow their customer portfolio appealing the safest drivers with discounts and rewards, reduce their claims costs by up to 40% and improve drivers’ performance by 15% on average.
We are passionate dedicated experts on a race to disrupt global mobility and the insurance industry, and to introduce driving awareness to the society as a new term in the coming years.
