AI Optimization & Cloud Engineer
Location: Remote
Required Experience: 10+ years
Overview: Build core mathematical optimization engines for capital investment planning tools.
Key Responsibilities
- Formulate MILP models using Python (Pyomo, PuLP) and solvers (Gurobi, HiGHS, CBC).
- Package optimization workflows as scalable AWS cloud microservices (AWS Batch, Lambda, Step Functions, S3) using Terraform.
- Ingest predictive asset-health data and build diagnostic/deterministic run harnesses.
- Utilize AI-assisted engineering tools (GitHub Copilot, AI agents).
Key Qualifications
- Strong mathematical optimization background, AWS serverless/container architectures, Terraform, and Python automated testing/data pipelines.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior