Are you passionate about leveraging machine learning to revolutionize the automotive industry? Join our Automotive clients' Vehicle Controls department as a Machine Learning Engineer, where you'll be part of a dynamic scrum team responsible for software development from concept to industrialization. We're seeking a driven individual with a strong customer focus and a commitment to delivering high-quality solutions. If you're eager to expand your technical insights and contribute to developing cutting-edge technologies, we want to hear from you!
Key Responsibilities:
- Develop and train machine learning models to predict EV Energy Consumption, Battery Degradation, Charging Strategy, and Driving Behaviors.
- Process and prepare data for machine learning model training and verification.
- Deploy machine learning models into production and ensure their operational efficiency at scale.
- Monitor and update machine learning models to enhance accuracy.
- Stay abreast of the latest developments in machine learning algorithms and architectures.
Qualifications and Skills:
- Master’s or PhD in relevant fields such as Data Science, Statistical Analysis, Machine Learning, Computer Science, or Mathematics.
- Minimum of 3 years of professional work experience in similar roles.
- Domain knowledge in Electric Vehicles, Battery Technology, and EV Energy Management.
- Proficiency in programming languages such as Python, R, or similar languages used for Data Analysis and Machine Learning.
- Experience in Model Deployment Tools and Techniques.
- Experience using machine learning libraries such as TensorFlow PyTorch.
- Fluent in English (spoken and written).
- Experience with Agile methodologies, Git, and JIRA is advantageous.
If this is you then contact Rob with your CV ASAP for further details
