Principal Data Scientist / Algorithm Engineer
Core
Building AI-driven simulation software for engineering and manufacturing across advanced industries, enabling high-fidelity multi-physics simulation through AI inference to optimize design, manufacturing, and operations.
Role type
Principal Data Scientist (Algorithm Engineer) in Delivery
Builds
AI models and data pipelines integrated into simulation tools for engineering and manufacturing customers
Domain
Deep-tech, AI, multi-physics simulation, Aerospace & Defense, Materials, Energy, Semiconductors, Automotive
Deliverable
production ML models
Required skills
probabilistic methods, predictive modelling, deep learning, Python, NumPy, SciPy, Pandas, TensorFlow, Pytorch, data pipeline architecture, model deployment, technical leadership, mentoring
Preferred skills
industry experience post Masters or PhD, hands-on customer collaboration, cross-functional collaboration with simulation engineers
Technologies
Python, NumPy, SciPy, Pandas, TensorFlow, PyTorch
Responsibilities
Lead pre-processing and analysis of complex data for predictive modelling; Architect and develop deep learning models combined with optimization methods for physical systems; Design, build, and test scalable data pipelines; Lead cross-functional collaboration with simulation engineers; Drive internal R&D and product development; Mentor junior team members; Represent company as technical authority at customer sites globally
Seniority
Principal, technical leadership & mentorship