AI / ML Engineer
Core
Design and lead enterprise-scale scientific AI, simulation intelligence, computational modeling, and ML-enabled engineering solutions on AWS.
Role type
Senior Technical Architect (AI/ML Computational Science)
Builds
Scalable AI/ML, computational science, simulation, optimization, and data architecture solutions
Domain
Computational Science, Scientific AI, Simulation, Optimization, Cloud (AWS)
Deliverable
production ML models | product features | infrastructure
Required skills
Solution architecture, Python, MLOps, AWS AI/ML services, Scientific data pipelines, Model governance, Stakeholder leadership, Pre-sales/consulting
Preferred skills
HPC/GPU acceleration, Digital twins, Agentic AI workflows, Physics-informed ML, Advanced degree (Master's/Ph.D.)
Technologies
AWS SageMaker, Bedrock, EKS, Lambda, Glue, EMR, PyTorch, TensorFlow, JAX, NumPy, SciPy
Responsibilities
Lead end-to-end architecture for AI/ML computational science solutions; Define technical direction for scientific AI and optimization algorithms; Partner with client scientists to convert domain problems into practical solutions; Guide engineering teams on reusable reference architectures; Support sales and pre-sales with technical proposals and demos.
Seniority
Senior, hands-on IC with significant leadership and strategy scope
