AI Engineer (ODEs) at HW.Tech

Join a global digital product engineering company delivering cutting-edge B2B solutions in the biopharmaceutical domain. As part of a world-class AI team, you'll help build advanced ML models and research systems that power next-generation pharma analytics.

Key Responsibilities:

• Design and prototype machine learning models and neural ODEs for complex biomedical datasets

• Optimize model performance and manage large-scale data pipelines

• Apply statistical methods (MLE, bootstrapping) and nonlinear optimization (e.g., CPLEX)

• Collaborate with cross-functional teams to deliver production-ready ML systems

• Monitor model accuracy, data quality, and real-world deployment performance

• Document research processes and contribute to internal knowledge sharing

• Support innovation by exploring new ML techniques and experimentation frameworks

• Communicate project status clearly and drive outcomes independently

Key Requirements:

• 5+ years of experience in machine learning research and development

• Strong Python skills (Pandas, Scikit-learn, PyTorch); experience with scientific computing

• Proven expertise in neural networks, ODEs, and neural ODEs

• Background in nonlinear optimization and statistical modeling

• Degree in Mathematics, Computer Science, Bioinformatics, or related field

• Self-driven, strong communicator, and comfortable with loosely defined tasks

• Bonus: Experience with JAX (equinox, diffrax), CRISP-ML(Q), or digital twins

What We Offer:

• Full remote role (no location restrictions)

• Long-term engagement

• Competitive compensation aligned with experience

• Work alongside a world-class team on high-impact pharma solutions