Role OverviewDesign, develop, and deploy enterprise-grade machine learning and AI solutions, focusing on building LLM-powered applications, RAG pipelines, and intelligent document processing workflows.
What You Will Do
Design and deploy LLM-powered applications, develop and optimize RAG pipelines, build document intelligence solutions, and implement model evaluation and monitoring processes.
Why It Might Be a Fit
The ideal candidate will have strong expertise in machine learning, deep learning, and NLP, with hands-on experience with LLMs, RAG, and AI agents, and experience working with cloud-native architectures and CI/CD tools.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field, or equivalent experience.
- 5+ years of experience building and deploying AI/ML solutions, including recent hands-on experience with LLMs and Generative AI.
- Strong expertise in Machine Learning, Deep Learning, NLP, transformer architectures, and frameworks such as PyTorch or TensorFlow.
- Hands-on experience with Python, LLMs, RAG, vector databases, AI agents, and frameworks such as LangChain, LangGraph, or LlamaIndex.
- Experience with Azure AI/Azure OpenAI, AWS SageMaker, or Google Vertex AI (Azure preferred).
- Strong SQL, data engineering, and ML pipeline development experience.
- Experience with Docker, Kubernetes, CI/CD, and cloud-native architectures.
- Knowledge of LLM evaluation, MLOps, AI observability, and Responsible AI practices.
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