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Mid-level AI/full-stack role at a visible services firm with generalist title and unspecified experience, causing moderate competition.
ML and cloud skills are transferable, but enterprise data platform experience adds moderate domain specificity.
Multiple mandatory ML, cloud, and infra skills required, creating strict technical filters.
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Maintain and support OpenAI API integration, including prompt flows, error handling, and cost management.
Operate and deploy applications on AWS ECS using Terraform-managed infrastructure and handle environment promotions with BA and QA.
Maintain and complete integrations with EDF, web sources, Dun & Bradstreet, and Beroe; fix defects and implement minor enhancements as needed.
Strong foundation in data science or ML engineering with robust Python skills; practical experience with LLM APIs like OpenAI.
Production deployment experience in AWS (ECS preferred), containerization, CI/CD pipelines, and Infrastructure as Code tools like Terraform.
Experience in data integration involving data lakes, enterprise data platforms, or third-party APIs.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing API integration layers within cloud container environments, emphasizing deployment and operational fluency.
Comfortable working in collaboration involving business analysts and quality assurance teams for environment promotions and defect resolution.
Preferably has familiarity with regulated pharmaceutical environments, agentic-AI orchestration, or procurement/market-intelligence data domains.