Location: Mumbai

Role Overview:
We’re looking for a Python Developer to join our dynamic team and contribute to building next-generation data-driven solutions. You’ll play a key role in developing backend systems that power our AI-driven analytics platform, working closely with senior developers and cross-functional teams to deliver scalable APIs, optimize data workflows, and maintain high code quality. This role offers hands-on experience with modern Python frameworks, cloud-native architectures, and big data technologies, empowering you to grow your skills in a fast-paced, AI-focused environment.

Key Responsibilities:

• Develop and maintain RESTful APIs using Django/DRF and FastAPI under senior developer guidance.

• Collaborate on building secure, multi-tenant SaaS solutions following OWASP and AVS2 standards.

• Optimize PostgreSQL queries and assist in managing Document DB (MongoDB/Couchbase) operations for efficient data storage and retrieval.

• Process and transform data using Pandas/NumPy and contribute to data analytics workflows.

• Integrate third-party APIs (payment gateways, AI/ML services) with a focus on reliability and performance.

• Write clean, reusable code and adhere to version control practices (Git).

• Participate in code reviews and troubleshoot issues to improve system performance.

• Implement basic caching mechanisms (Redis) and async code patterns.

• Support deployment of AI/ML models into production environments.

• Stay updated on Python advancements and AI-driven development tools (e.g., GitHub Copilot).

Requirements:

• 1–3 years of hands-on Python development experience (professional or project-based).

• Proficiency in Python frameworks like Django or FastAPI.

• Understanding of REST API design principles and authentication (OAuth2, JWT).

• Experience with relational databases (PostgreSQL) and Document DBs.

• Familiarity with data processing libraries (Pandas, NumPy).

• Basic knowledge of async programming, caching (Redis), and cloud platforms (AWS/Azure).

• Ability to write efficient, maintainable code and debug issues.

• Degree in Computer Science, Engineering, or a related field.

Nice-to-Have:

• Exposure to big data tools (PySpark, Dask) or analytical databases (ClickHouse, DuckDB).

• Basic understanding of Docker, Kubernetes, or SaaS architecture.

• Interest in AI/ML concepts or model deployment pipelines.

Why Join Us?

• Competitive salary.

• Opportunities to work on AI/ML-driven projects.

• Continuous learning.

• Collaborative culture with a focus on innovation.