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Python Intern
2 weeks ago
Role Overview**:Duration of the Internship will be 3 months.**
**Responsibilities**:
- Help build and consume RESTful or GraphQL APIs integrating AI models and backend services, following established best practices.
- Containerize microservices (including AI workloads) using Docker and support Kubernetes deployment and management tasks.
- Implement and monitor background jobs with Celery (e.g., data processing, model training/inference), including retries and basic alerting.
- Integrate third-party services and AI tools via webhooks and APIs (e.g., Stripe, Razorpay, external AI providers) in collaboration with the team.
- Set up simple WebSocket consumers using Django Channels for real-time AI-driven and backend features.
- Aid in configuring AWS cloud infrastructure (EC2, S3, RDS) as code, assist with backups, monitoring via CloudWatch, and support AI workload deployments.
- Write unit and integration tests using pytest or unittest to maintain ≥ 80% coverage across backend and AI codebases.
- Follow Git branching strategies and contribute to CI/CD pipeline maintenance and automation for backend and AI services.
- Participate actively in daily tech talks, knowledge-sharing sessions, code reviews, and team collaboration focused on backend and AI development.
- Assist with implementing AI agent workflows and document retrieval pipelines using **LangChain** and **LlamaIndex (GPT Index)** frameworks.
- Maintain clear and up-to-date documentation of code, experiments, and processes.
- Participate in Agile practices including sprint planning, stand-ups, and retrospectives.
- Demonstrate basic debugging and troubleshooting skills using Python tools and log analysis.
- Handle simple data manipulation tasks involving CSV, JSON, or similar formats.
- Follow secure coding best practices and be mindful of data privacy and compliance.
- Exhibit strong communication skills, a proactive learning mindset, and openness to feedback.
**Required Qualifications**
- Currently pursuing a Bachelor’s degree in Computer Science, Engineering, Data Science, or related scientific fields.
- Solid foundation in Python programming with familiarity in common libraries (NumPy, pandas, etc.).
- Basic understanding of RESTful/GraphQL API design and consumption.
- Exposure to Docker and at least one cloud platform (AWS preferred).
- Experience or willingness to learn test-driven development using pytest or unittest.
- Comfortable with Git workflows and CI/CD tools.
- Strong problem-solving aptitude and effective communication skills.
**Preferred (But Not Required)**
- Hands-on experience or coursework with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Prior exposure to Django web framework and real-time WebSocket development (Django Channels).
- Familiarity with **LangChain** and **LlamaIndex (GPT Index)** for building AI agents and retrieval-augmented generation workflows.
- Understanding of machine learning fundamentals (neural networks, computer vision, NLP).
- Background in data analysis, statistics, or applied mathematics.
Pay: ₹120,000.00 - ₹180,000.00 per year
Application Question(s):
- Will you be able to commute Vashi, Navi Mumbai?
- Would you be willing to convert to a full-timer role post completion of internship?
Work Location: In person