Python for data Science + AI + ML

Key Responsibilities

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.

📌 Python for data Science + AI + ML (Hyderabad)
🏢 TalentOla
📍 Hyderabad