Job description

Develop and maintain robust, scalable, and maintainable microservices architectures. Develop APIs and SDKs for internal and external consumption. Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1. Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3. Design and implement data pipelines. Proficiency in frontend frameworks like React, Angular, or Vue.js. Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java.

Skills Required

Key Skills

• FULL STACK
• AI ENGINEER
• ML
• LLM

Other Information