Proficient in Python for backend/app development and React for frontend/UI.
Experience building and consuming REST APIs, microservices, and distributed systems.
Hands-on with Microsoft Azure development/deployment and experience designing solutions in AWS and/or GCP.
Experience developing machine learning solutions using diverse datasets, including advanced AI modeling, evaluation, optimization, and deployment.
Experience building or integrating chatbots or conversational AI.
Strong understanding of cloud architecture, software design, security, and scalability.
Experience with DevOps practices and tools, including CI/CD, infrastructure as code, automated deployments, environment management, monitoring, and release support across cloud platforms.
Experience with relational, NoSQL, and vector databases.
Preferred Qualifications:
Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or related cloud services.
Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks.
Experience designing multi-cloud application architectures and integration patterns.
Familiarity with Docker, Kubernetes, and container-based deployment models.
Experience with MLOps practices, model lifecycle management, and production monitoring.
Experience with relational, NoSQL, and vector databases.
Strong communication, collaboration, and solution design skills in cross-functional environments.