We are seeking a highly skilled Data Scientist to work remotely from India. The ideal candidate will have expertise in AI/ML, Python development, and production systems.

Essential Technical Skills :

AI/ML :

- Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)

- Production deployment of at least one AI system that's currently running in production

- LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient)

- Function calling/tool use - ability to build AI systems that can call external APIs and functions

- Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns

Python Development :

- 3+ years Python development with strong fundamentals

- API development using Flask or FastAPI with proper error handling

- Async programming - understanding of async/await patterns for concurrent operations

- Database integration - working with PostgreSQL, MySQL, or similar relational databases

- JSON/REST APIs - consuming and building REST services

Production Systems :

- 2+ years building production software that serves real users

- Error handling and logging - building robust systems that handle failures gracefully

- Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform)

- Git/version control - collaborative development using Git workflows

- Testing fundamentals - unit testing and integration testing practices

Business Process :

User Requirements :

- Ability to translate business needs into technical solutions

Data Quality :

- Recognizing and handling dirty/inconsistent data

Exception Handling :

- Designing workflows for edge cases and errors

Software Engineering

Cross-Functional Collaboration :

- Worked with non-technical stakeholders

Problem-Solving :

- Demonstrated ability to debug and resolve complex technical issues

Communication & Collaboration

Technical Documentation :

- Ability to write clear technical docs and code comments

Stakeholder Communication :

- Explain technical concepts to business users

Educational Background

Formal Education :

- Bachelor's degree in Computer Science, Engineering, or related technical field

Alternative Paths :

- Coding bootcamp + 2+ years professional development experience

- Self-taught with strong portfolio of production projects

- Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have]