Python & Database Developer
Summary
Builds Python-based data pipelines and AI services, designs LLM solutions, and writes SQL queries for a fintech-focused product team.
- Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services.
- Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation.
- Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining.
- Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems.
- Familiarity with object-oriented programming (OOP).
- Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems.
- Good knowledge of Database concepts and writing SQL queries and Stored Procedures.
- Working knowledge of Unix.
- Experience with version control tools (preferably Git).
- Writing unit tests (e.g. using pytest).
- Self-starter with ability to work in a fast-paced environment and be able to work on multiple projects.
Years of experience:
- 5-7 years of Python & Database experience (70%)
- 2-3 years of hands-on AI project experience (30%)
Good to Have:
- Experience of working in Agile Squads.
- Finance data domain knowledge.
- Understanding of model performance monitoring, model debugging, and logging systems within AI applications.
- Experience with containerization and deployment of ML services in enterprise environments.