Description

You will build and maintain scalable Python applications for AI/ML model serving. You own the full lifecycle of backend services, from architecture to deployment.

Responsibilities

• Develop high-quality Python applications using OOP, SOLID principles, and design patterns.
• Build RESTful APIs and backend services for AI/ML model serving using FastAPI.
• Collaborate with AI/ML engineers to integrate, deploy, and monitor machine learning and Generative AI models.
• Implement CI/CD pipelines and follow DevOps best practices for reliable deployments.
• Design observability solutions including logging, monitoring, and alerting mechanisms.

Required Skills

• 5-8 years of experience in software development with a focus on Python.
• Strong experience in AI/ML and Generative AI-based applications.
• Hands-on experience building REST APIs using FastAPI.
• Experience working with cloud platforms such as AWS (SageMaker, Bedrock) and/or Azure (ML Studio, OpenAI Service).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience in MLOps, model deployment, and monitoring.
• Knowledge of data engineering concepts such as ETL and large-scale data processing.

Preferred Skills

• Experience with Rust.
• Strong understanding of software architecture and scalable system design.

Key Skills

Education

Any Graduate