Artificial Intelligence Engineer
Vor 2 Tagen
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.
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