Machine Learning (ML)
PythonAbout Role
We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.
This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features
Key Responsibilities
- Design, develop, and maintain scalable backend services using Python
- Build APIs and services using FastAPI, Flask, or Django
- Ensure performance, reliability, and scalability of backend systems
- Integrate AI/ML models into production systems (model inference, automation)
- Build and maintain AI pipelines for data processing and inference
- Deploy and manage applications on AWS, with exposure to GCP and Azure
- Implement CI/CD pipelines, containerization, and cloud deployments
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Optimize cloud infrastructure for cost, performance, and reliability
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Follow best practices for security, monitoring, and logging
Required Qualifications
- 2–4 years of professional experience in Python development
- Strong understanding of backend frameworks: FastAPI, Flask, Django
- Hands-on experience integrating AI/ML systems into applications
- Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
- Exposure to Google Cloud Platform (GCP) and Microsoft Azure
- Experience with Docker and CI/CD workflows
- Understanding of scalable system design principles
- Strong problem-solving and debugging skills
- Ability to work collaboratively in a product-driven environment
Perks and Benefits
- Work in Nikhil Kamath funded startup
- ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
- Opportunity to build long-term wealth through ESOP participation
- Work on production-scale AI systems used in real-world applications
- Hands-on experience with AWS, GCP, and Azure architectures
- Work with a team that values clean engineering, experimentation, and execution
- Exposure to modern backend frameworks, AI pipelines, and DevOps practices
- High autonomy, fast decision-making, and real ownership of features and systems
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon