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Key Responsibilities
- Hands on years of exp.
- Design, develop, and deploy scalable backend services using Python.
- Build and maintain RESTful APIs using frameworks like FastAPI, Flask, or Django REST Framework.
- Develop and integrate AI/ML models into production systems.
- Collaborate with data scientists, DevOps, and product teams to deliver end-to-end solutions.
- Ensure code quality through unit testing, CI/CD pipelines, and Agile practices.
- Monitor and troubleshoot production issues and performance bottlenecks.
- Document development processes and maintain technical documentation.
Required Skills
- Python: Advanced proficiency with clean, modular coding practices.
- REST API: Experience with API design, documentation (Swagger/OpenAPI), and testing (Postman).
- AI/ML:
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Techniques: Supervised/Unsupervised learning, NLP, Transformers
- Tools: Hugging Face, LangChain (for LLMs), MLOps pipelines
- Cloud: Azure (preferred), AWS, or GCP – including services like Azure Functions, App Services, Blob Storage.
- DevOps: GitHub Actions, Azure DevOps, Docker, Kubernetes.
- Data: SQL, PostgreSQL, MongoDB, Pandas, NumPy.
Version Control: Git, GitLab, Bitbucket.
Key Skills
Ranked by relevance
devops
restful apis
postgresql
tensorflow
fastapi
pytorch
django
docker
gitlab
pandas
flask
mlops
cicd
git
sql
aws
gcp
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- Posted
- Nov 11, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Zurich
- Company
- Thrive IT Systems
Industries
IT Services
IT Consulting
Categories
Information Technology
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