MethodHub - Python Developer - Flask/FastAPI

Job Summary :

We are looking for an experienced Python Developer with strong backend development expertise and exposure to modern web frameworks and data-driven systems. The ideal candidate will have hands-on experience with Python, FastAPI, and React.js, along with a solid understanding of software design patterns, data processing, and API development. This role

also involves mentoring team members and contributing to AI/ML-enabled data pipelines.

Key Roles & Responsibilities :

- Design, develop, and maintain scalable backend applications using Python.

- Build and optimize RESTful APIs using frameworks such as FastAPI and Flask.

- Develop frontend components and integrations using React.js.

- Apply core Python concepts and design patterns to build maintainable and high-performance systems.

- Work with data processing and analysis libraries such as NumPy, Pandas, Polars, and Dask.

- Participate in the design and implementation of data pipelines and workflows.

- Collaborate with cross-functional teams to integrate AI/ML models into production pipelines.

- Write efficient SQL queries and work with relational databases.

- Follow Agile/Scrum development practices and contribute to sprint planning, reviews, and

retrospectives.

- Perform code reviews and ensure adherence to best coding and security practices.

- Mentor junior developers and provide technical guidance to the team.

Mandatory Skills & Qualifications :

- 5+ years of hands-on experience in Python development.

- Strong expertise in Core Python and object-oriented design patterns.

- Experience with FastAPI, Flask, and Pydantic for API development.

- Proficiency in React.js for frontend development and integration.

- Familiarity with data analysis and computation libraries : NumPy, Pandas, Polars, Dask.

- Good understanding of REST API design principles.

- Solid knowledge of SQL and relational database concepts.

- Strong communication skills with a professional, client-focused mindset.

- Experience working in Agile development environments.

Good to Have :

- Experience with data pipeline frameworks such as Apache Airflow, Apache Beam, or Luigi.

- Exposure to cloud platforms and containerization tools.

- Understanding of CI/CD pipelines and DevOps practices.

- AI/ML Focus

- Understanding of the data lifecycle, from ingestion and preprocessing to model deployment.

- Experience or exposure to integrating machine learning models into data pipelines and backend systems.

- Ability to collaborate with data science teams to productionize AI/ML solutions.

Leadership & Mentoring :

- Ability to mentor and guide junior engineers.

- Strong leadership, communication, and collaboration skills.

- Willingness to contribute to team growth and technical excellence.