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SID Global Solutions

Python Developer

Posted 26 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Mid level
In-Office
Mumbai, Maharashtra, IND
Mid level
Build scalable Python backend services and REST APIs, develop intelligent agents and automation workflows, integrate data science models, implement data pipelines, containerize and deploy using Docker/Kubernetes, and ensure code quality with testing.
The summary above was generated by AI

Job Title: Python Developer (AI Agents / Data Science) – 4+ Years
Location: Mumbai
Experience: 4+ Years
Job Summary:

We are looking for a Python Developer with strong backend fundamentals and exposure to data science concepts to design and build intelligent agents and automation solutions. The role involves developing scalable services and working on AI-driven workflows, including agent-based systems.


Key Responsibilities:
  • Design and develop scalable backend services using Python
  • Build and integrate REST APIs for agent-based applications
  • Develop intelligent agents for automation, data processing, and workflow orchestration
  • Work with data science libraries for data analysis, transformation, and model integration
  • Collaborate with AI/ML teams to integrate models into production systems
  • Implement data pipelines and handle structured/unstructured data
  • Write clean, testable code and ensure code quality using best practices
  • Containerize and deploy applications using Docker and Kubernetes

Required Skills:
  • Strong Python programming experience (4+ years)
  • Experience in building REST APIs (FastAPI preferred)
  • Solid understanding of OOP, data structures, and system design
  • Hands-on experience with data science libraries like Pandas, NumPy
  • Basic understanding of machine learning concepts
  • Experience in developing or working with AI agents / automation frameworks
  • Knowledge of API integrations and microservices architecture
  • Experience with Docker and Kubernetes
  • Testing experience using Pytest

Good to Have:
  • Experience with LLM frameworks (LangChain, LlamaIndex, etc.)
  • Exposure to NLP or ML model deployment
  • Experience with vector databases or embeddings
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Experience with async programming in Python


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