Quick overview
Job description
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.
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