senior machine learning engineer, powertrain design and optimal selection

Data is at the heart of innovation, and we are building a Machine Learning team to unlock its full potential. As a Senior Data & Machine Learning Engineer, you will lead groundbreaking initiatives within our Data & Optimization efforts in the South EU region. This role offers significant autonomy—you'll drive projects from conception to deployment, with the freedom to innovate and shape our ML capabilities.

Our wealth of physics-based data, derived from high-fidelity, validated models, provides a robust foundation for transformative insights. By applying advanced machine learning techniques, you'll enhance decision-making processes, optimize system performance, and refine design strategies for powertrain systems. Your data-driven contributions will deliver a competitive edge, enabling us to explore innovative solutions and push the boundaries of engineering excellence.

We are in the early stages of scaling this capability, so we're seeking a highly proactive and self-driven expert who thrives in an evolving environment. If you have a proven track record of independent research and application of ML to complex engineering challenges, this is your opportunity to make a lasting impact.

Τι θα κάνετε

• Lead Machine Learning for Design Optimization: Develop and deploy advanced ML models using high-fidelity physics-based data to minimize reliance on time-intensive simulations and explore vast design spaces efficiently.

• Drive Data-Driven Decision Making: Conduct large-scale data analysis to inform and accelerate human-driven selection of optimal powertrain designs, fostering faster, more precise engineering outcomes.

• Manage Data Lifecycle: Collect, clean, process, and analyze complex datasets to derive actionable insights for ML applications, ensuring data integrity and scalability.

• Innovate and Validate Models: Design, implement, evaluate, and iterate on sophisticated ML models to enhance design strategies and system performance, incorporating techniques like deep learning and reinforcement learning.

• Integrate ML into Core Workflows: Spearhead the embedding of ML-driven insights into existing design processes, promoting efficiency, innovation, and cross-functional collaboration.

• Mentor and Collaborate: Guide junior team members, contribute to strategic planning, and stay abreast of emerging ML trends to continually elevate our capabilities.

Τι θα έχετε μαζί σας

• PhD in Computer Science, Data Science, Electrical Engineering, or a related field (or Master's with equivalent professional experience); strong preference for candidates with research focused on ML applications in engineering or physics-based systems.

• 2+ years of hands-on experience in machine learning and data science, with a demonstrated ability to work independently on complex, real-world projects.

• Advanced proficiency in Python and expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Proven expertise in data processing and analysis, including handling large datasets with tools like Pandas, NumPy, SQL, and big data technologies (e.g., Spark or Dask).

• Strong background in software engineering practices, including Agile methodologies, version control (e.g., Git), and CI/CD pipelines.

• Excellent analytical and problem-solving skills, with a structured approach to tackling ambiguous technical challenges.

• Fluency in English (written and spoken); additional languages are a plus.