Job Description
Responsibilities:
- 4+ years of experience in AI/ML engineering, applied data science, or related roles.
- Strong proficiency in Python and SQL.
- Solid foundation in machine learning (classification, anomaly detection, model evaluation).
- Hands-on experience with AI systems,
- Experience building and deploying APIs/services (FastAPI or similar).
- Familiarity with containerization (Docker) and CI/CD.
- Experience working in cloud environments (Azure)
- Strong communication skills and comfort working in product-facing and enablement roles.
- Experience building internal platforms, shared services, or enablement frameworks.
- Exposure to M365 Copilot extensibility or enterprise productivity tooling.
- Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management).
- Knowledge of Responsible AI, governance, and enterprise data privacy practices.
- Experience in regulated industries (insurance, auto warranty, financial services).
Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Auto Insuranceunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Scienceunmatched
Dockerunmatched
Financial Servicesunmatched
Machine Learningunmatched
Machine Toolunmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
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