
AI Applications Developer
1 week ago
Key Responsibilities:
- Design, develop and deploy AI-driven applications leveraging Python, FastAPI, Azure Durable Functions and Azure OpenAI Services.
- Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions.
- Drive end-to-end Generative AI projects, encompassing data ingestion, model integration, evaluation and refinement.
- Integrate AI/ML search and data services such as Azure Cognitive Search, Cosmos DB and other Azure-native tools.
- Automate key components of the RAG workflow ensuring production-grade performance and scalability.
- Evaluate, validate and fine-tune AI model outputs for accuracy and relevance.
- Implement monitoring, observability and guardrails to ensure responsible AI practices.
- Collaborate with cross-functional teams to deliver innovative AI solutions.
Required Skills & Qualifications:
- Strong programming expertise in Python, including frameworks like FastAPI and Flask.
- Deep understanding of Generative AI, Machine Learning (ML) and RAG methodologies.
- Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search and Cosmos DB.
- Hands-on experience with machine learning, deep learning and natural language processing (NLP).
- Familiarity with ML/DL frameworks like TensorFlow, PyTorch and libraries like scikit-learn, spaCy etc.
- Solid knowledge of machine learning algorithms including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM and Decision Forests.
- Experience in evaluating and fine-tuning Large Language Model (LLM) performance and implementing responsible AI practices.
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