Description
You will design, develop, and deploy enterprise-grade AI/ML solutions using Azure AI Foundry, Python, and modern AI frameworks.
This role is on-site.
Responsibilities
- Design end-to-end AI architectures using Azure AI Foundry, Azure OpenAI, and related services.
- Develop AI pipelines and deploy Chatbots, copilots, and RAG systems using Python and frameworks like LangChain and Semantic Kernel.
- Build and deploy scalable, secure, and cost-efficient AI/ML solutions, including predictive models and LLMs.
- Implement MLOps and LLMOps pipelines, including model monitoring, bias detection, and explainability.
- Integrate AI systems with enterprise platforms via REST APIs and microservices.
Required Skills
- Strong Python programming (5+ years experience).
- Hands-on experience with Azure AI Foundry and Azure OpenAI Service.
- Experience with LLMs, Prompt Engineering, and RAG pipelines.
- Proficiency in frameworks: LangChain, Semantic Kernel, Hugging Face Transformers, PyTorch, or TensorFlow.
- API development using FastAPI or Flask.
- Knowledge of Cloud architecture (Azure preferred) and tools like Docker and Kubernetes.
- Experience with vector databases (FAISS, Pinecone, Azure AI Search).
- Familiarity with CI/CD pipelines and Git (GitHub).
- Bachelor's degree in a relevant field.
Preferred Skills
- Experience with Azure Data Factory, Synapse, or Databricks for data engineering.
- Knowledge of Governance and Responsible AI (HIPAA, GDPR compliance).
- Experience with Azure Logic Apps and Azure Graph.