Python + MLOps Engineer (Remote)
BairesDev · District Capital
Job description
About the role
We are looking for a Python + MLOps Engineer to turn machine‑learning and computer‑vision models into reliable production services. The role is fully remote and works within two‑week Agile sprints, collaborating with a global team of top‑tier engineers.
Key responsibilities
- Operationalize ML and computer‑vision models in stable production environments.
- Design, maintain and improve mature CI/CD pipelines for model deployment.
- Configure, monitor and support development, staging and production cloud environments (AWS or GCP).
- Review pull requests and enforce backend code reliability standards.
- Use AI developer tools and agentic workflows to accelerate delivery within Agile cycles.
Required profile
- 8+ years of professional software engineering experience.
- Strong proficiency in Python.
- Hands‑on experience with MLOps practices and production model deployment.
- Experience building and managing CI/CD pipelines.
- Background working with AWS or GCP cloud platforms.
- Advanced English communication skills.
Required skills
- Python
- MLOps
- CI/CD pipelines
- AWS
- GCP
- Cloud environment management
- Production model monitoring and performance tracking
- Computer vision
- Agile sprint methodology
- AI developer tools (e.g., Claude Enterprise, CodeRabbit AI)
What we offer
- 100 % remote work from anywhere.
- Competitive compensation in USD or local currency.
- Provided hardware and software for home office.
- Flexible schedule and paid parental leave, vacations and holidays.
- Mentorship, career growth and a multicultural team of top talent.
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Published 1 month ago
Expires 1 week from now
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BairesDev
District Capital