Python Engineer

Responsibilities

40% - Python Development: Design, build, and maintain production-grade Python services and APIs that power the platform's commerce and financing capabilities

30% - AI/ML Engineering: Develop, integrate, and deploy AI/ML models and intelligent features; move solutions from prototype to production

15% - Collaboration & Integration: Partner with product, data, and platform teams to translate requirements into scalable, well-architected solutions

15% - Quality & Reliability: Write testable, maintainable code and support the performance, scalability, and reliability of deployed services

Preferred

Experience in healthcare, fintech, or commerce/marketplace environments

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

Exposure to data pipelines, MLOps, or model-serving infrastructure

Benefits

Medical Insurance

Dental Benefits

Vision Benefits

Paid Time Off (PTO)

401(k) Match

Dice is the go-to career marketplace for tech professionals.

Centennial, Colorado, USA

https://www.or-quest.nl/

Growth Stage

Leadership Team

Daniel Hinck

Client Success Partner

Kalyn Thorne

Client Success Partner - Enterprise

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Qualifications

Strong professional experience building production Python applications

Hands-on AI/ML background (model development, integration, or deployment)

Experience designing and consuming APIs and building scalable services

Solid understanding of software engineering fundamentals - testing, version control, code quality

Ability to work onsite in Charlotte, NC, four days per week

Applicants must be currently authorized to work in the US on a full-time basis now and in the future

Experience in healthcare, fintech, or commerce/marketplace environments

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

Exposure to data pipelines, MLOps, or model-serving infrastructure

Required skills

Python, Artificial Intelligence and Machine Learning, API Design and Integration, Scalable Service Development, Software Testing, Version Control, Healthcare Technology, Financial Technology, Cloud Platforms, Data Pipelines, MLOps, Model Serving

Experience

Mid level