This role, focused on driving technical contributions, involves developing and maintaining robust Python-based services, supporting cloud infrastructure (AWS/Azure), and actively contributing to data pipelines.

You will also have the unique opportunity to collaborate on integrating advanced Machine Learning (ML) and Large Language Models (LLMs) into our systems.

Role Requirements & Logistics Role Title : Python Developer (Drive)

Experience Required : 2-6 years Focus : Python Backend Development, Data Pipelines, Cloud Support, and ML Integration.

Key Responsibilities & Technical Deliverables :

1. Core Development & Services Backend Development : Develop and maintain robust Python-based services and tools focusing on performance, reliability, and security. API & Integrations : Contribute to the development of APIs (Application Programming Interfaces) and manage essential system integrations to ensure seamless data and service flow.

2. Cloud & Data Engineering Support Cloud Infrastructure : Assist in the support and maintenance of cloud infrastructure and resources, utilizing platforms such as AWS or Azure. Data Pipelines : Assist in building and maintaining data pipelines and ETL (Extract, Transform, Load) workflows, ensuring data quality and availability for downstream systems.

3. AI/ML Integration & Resilience Model Integration : Collaborate with senior engineers and data scientists to integrate both classic Machine Learning (ML) and Large Language Models (LLM) models into production services. System Reliability : Help implement monitoring, logging, and basic resilience strategies to ensure service uptime and rapid issue detection.

4. Engineering Quality SDLC Participation : Actively participate in code reviews, thorough testing, and documentation to uphold high standards of code quality and maintainability.

Required Skills & Experience Programming : Strong proficiency in Python (version 3.x).

Cloud : Working exposure to AWS or Azure.

Databases/Data : Familiarity with SQL and fundamental data concepts (ETL/data pipelines).

SDLC : Experience with version control (Git) and unit testing.

Preferred / Nice to Have : Exposure to specific Python web frameworks (e.g., Flask, Django).

Familiarity with Docker. Experience integrating or calling ML or LLM APIs.