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
