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 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.
We are a VC backed Insurtech company, member of the Endeavor global network having raised 4 funding rounds. Our solution is already implemented in more than 20 countries providing pioneering smartphone telematics and driving behavior analytics, for leading insurance, banking, automotive and mobility companies around the globe. Through our existing commercial agreements, we have gained access to more than 120 million vehicles worldwide.
Our world class AI-enabled, Big Data analytics platform, analyses 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, driving over the speed limits and mobile use while driving.
At OSeven we are working in agile teams, most of us fully remote, but with the option to walk in our office in Chalandri, Athens.
Role
As a Machine Learning Engineer at OSeven you will join a scrum team of ML Engineers, Data Engineers and Back-End Developers. You will participate in the design, implementation and testing of advanced Machine Learning and Data Mining based products for discovering a wide range of driving behavior patterns primarily from smartphone sensor data.
You will also develop state of the art custom-made solutions for problems such as time series analysis, detecting harsh events, detecting transportation mode & driver / passenger modes and performing advanced geospatial analysis for a large number of recorded trips, as well as advanced computer vision algorithms. You will work closely with our back-end and front-end teams for incorporating, deploying and maintaining the developed solutions using software engineering best practices.
Our team handles real world data and provides real world solutions with immediate impact in our clients driving behaviour.
Requirements
Must have skills:
- Bachelor's degree in Electrical Engineering, Computer Science, Statistics, Mathematics or a related field. Master’s degree or Ph.D. in a Data Science related area preferred.
- 3+ years of professional experience in related fields.
- Solid knowledge of supervised and unsupervised learning algorithms, statistical modeling methods, feature selection and performance evaluation schemes for Machine Learning models.
- Proven knowledge of Python programming and ML toolbox (scikit-learn, Pandas, NumPy, SciPy).
- Experience with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
- Familiar with version control systems (Git).
- Experienced in working according to agile frameworks.
Nice to have:
- Experience building end-to-end data systems
- Experience with computer vision (OCR, Object detection, etc.)
- Experience working with cloud data processing technologies (e.g Spark)
What we offer
- Highly competitive salaries reviewed upwards on a regular basis based on your performance and company’s targets/milestones
- Flexible working conditions (e.g. Work From Home)
- Participation in state-of-the-art projects and tech challenges
- Private Health Insurance and Pension Plan
- Stock options or bonus scheme subject to seniority level
- Internationally recognized and fun team
- Personal and professional development among-st industry experts
- Work with state-of-the-art technologies
- Great workspace in a very good location
- Free drinks and team social events
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