AI / ML Engineer
Core
Design, build, and integrate scalable scientific AI, simulation intelligence, computational modeling, and ML-enabled engineering solutions on AWS.
Role type
Senior IC AI/ML Engineer (Computational Science)
Builds
Production-ready AI/ML components, scientific data pipelines, model workflows, and reusable cloud-native patterns for clients.
Domain
Computational Science, Scientific AI, Simulation Intelligence, Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, AWS Machine Learning, MLOps, workflow orchestration, containerization, scientific data processing, numerical modeling, optimization, surrogate modeling, generative AI
Preferred skills
HPC, GPU acceleration, digital twins, agentic AI workflows, RAG, vector search, external client-facing consulting
Technologies
AWS SageMaker, Bedrock, Batch, EKS, ECS, Lambda, Step Functions, Glue, EMR, S3, FSx/Lustre, OpenSearch, IAM, VPC, CloudWatch, PyTorch, TensorFlow, JAX, XGBoost, NumPy, SciPy, pandas
Responsibilities
Lead design and build of AI/ML computational science components; translate scientific/engineering problems into ML solution patterns; develop production-quality cloud-native components; mentor engineers on implementation practices; build reusable assets like data pipeline templates and deployment scripts; support client discussions on technical options and trade-offs.
Seniority
Senior, hands-on IC with mentorship responsibilities
