AI Engineer

Key ResponsibilitiesHands 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 SkillsPython: 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-learnTechniques: Supervised/Unsupervised learning, NLP, TransformersTools: Hugging Face, LangChain (for LLMs), MLOps pipelinesCloud: 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.