About the Job:
The ideal candidate will be responsible for working cross-functionally to understand architecture needs across multiple business units. The role requires ownership of the entire architecture development process from inception to completion.
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Experience Requirements:
- 8 to 12 years of experience
- Minimum of 8 years in AI/ML roles, specializing in solutioning AI, ML, and Generative AI solutions.
Key Responsibilities:
- Proven experience in designing and deploying AI/ML and Generative AI solutions at scale across diverse business domains.
- Strong background in solutioning AI/ML and Generative AI use cases, including translating business requirements into scalable technical architectures.
- Demonstrated expertise in developing Conversational AI systems, including intelligent chatbots and virtual assistants powered by LLMs.
- Deep understanding of machine learning, deep learning, and generative AI techniques, including model selection, training, and optimization.
- Hands-on experience in building and fine-tuning LLMs, with knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows.
- Proficiency in developing robust ML pipelines using Azure ML or AWS SageMaker.
- Strong knowledge of cloud-native data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3.
- Experience deploying and operationalizing Azure Foundation Models and Azure OpenAI services in production environments.
- Skilled in containerization and DevOps practices, including Docker and CI/CD pipelines for scalable and automated deployments.
- Advanced programming skills in Python, focusing on clean, efficient, and maintainable code for AI/ML development.
