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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy AI/ML-powered applications and scalable backend services using Python and frameworks like FastAPI, Flask, or Django.
Develop frontend applications with React, JavaScript, and TypeScript as part of full-stack development.
Productionize AI models with cloud deployment (AWS, Azure, or GCP), maintain MLOps and CI/CD pipelines, and implement observability for service monitoring.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Software Engineering, or related field.
Experience developing and deploying machine learning or AI-powered applications.
Strong programming skills in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience as both AI practitioner and hands-on full-stack software engineer capable of rapid prototyping and production deployment.
Comfortable working with AI/ML lifecycle including model evaluation, prompt orchestration, and generation workflows (RAG, agentic workflows).
Able to collaborate across teams including product managers, domain experts, data scientists, and engineers to translate business needs into measurable AI solutions.