Cambridge Mobile Telematics (CMT) is looking to make the world’s roads and drivers safer by designing, developing, and shipping ML/AI systems that support the Crash & Claims product suite.
Requirements
- Must possess a deep understanding of data science principles, algorithms and practices, such as machine learning, deep learning, statistics and probability
- Must possess a thorough knowledge of software development process, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn and SQL
- Ability to write and navigate code, request data from data sources and code from scratch
- Experience with deep learning frameworks (TensorFlow, Keras, Torch, Caffe, etc.) and knowledge of Big Data infrastructure (Hadoop, Spark, etc.) will be a plus
- Practical experience with large language models and LLM inference approaches — able to evaluate model tradeoffs and select appropriate models and AI tools for a given task
- Hands-on experience with deploying and monitoring models in production (MLOps best practices, model versioning, CI/CD for ML)
Responsibilities
- Use independent judgment and discretion to develop ML / DL models which pattern driving behaviors and vehicle kinematics in data collected via smartphone sensors
- Leads projects and solutions through the full development stages, from data pre-processing, modeling, testing, through roll-out with minimum management oversight
- Write code for debugging complex issues and creating new solutions that will run as part of production systems
- Support customers’ requests regarding the production ML models and derive deep insights from data
- Communicate and present the data science work within the data science team as well as to stakeholders across the org and to collaborate across different teams
- Complete any additional tasks as they arise
Other
- Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Statistics, Mathematics or Engineering
- 4+ years of relevant working experience in Data Science
- A great team player and quick learner
- Master’s or PhD preferred
- Unlimited Paid Time Off including vacation, sick days & public holidays
