Responsibilities
- Develop, maintain, and scale backend services using Python.
- Implement solutions within cloud environments, particularly AWS, utilizing tools such as Kubernetes and Helm.
- Design and build services that send and receive data from ML models.
- Collaborate closely with data scientists and ML engineers to ensure smooth deployment and integration of machine learning models (MLOps).
- Apply best practices in software engineering, cloud infrastructure, and API design.
- Ensure reliability, scalability, and performance of backend systems.
- Adapt quickly to diverse client environments and coding standards.
Requirements
- 4+ years of experience in Python backend development, preferably with FastAPI.
- Solid understanding and practical experience with MLOps concepts and pipelines.
- Hands-on experience with AWS services.
- Proficiency in Kubernetes, Helm, and containerized deployments.
- Ability to work independently, take initiative, and maintain high attention to detail.
- Strong communication skills and ability to collaborate effectively with remote teams and clients.
Benefits
- Long-term 12 month contract, Full-time
- Choose your contract: Contract or B2B
- 10 Days PTO after 4 months of working in IT Labs
- Referral Bonuses
- Working on international projects
- Virtual Knowledge Sharing Sessions
- Events and team hangouts
Work Arrangement
Remote (Worldwide)
Additional Information
- 12 month contract
- Contract or B2B option
