Storage AI Specialist
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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop production-grade AI and Generative AI solutions including AI agents, copilots, and workflow automation to improve productivity and business outcomes.
Implement Retrieval-Augmented Generation architectures using vector databases and enterprise knowledge sources and optimize AI/ML models for accuracy, performance, safety, and cost.
Build scalable APIs and platforms for AI models in production and establish monitoring and governance for responsible AI deployment.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a closely related quantitative discipline.
6-9 years of relevant work experience in AI development and deployment.
Proficiency in programming languages including Python, SQL, Java, and Go and experience with AI/ML frameworks such as PyTorch, Scikit-learn, and LangChain.
Experience with cloud platforms (AWS/Azure), Kubernetes, Docker, MLOps/CI-CD pipeline setup, Generative AI models (GPT, Claude, Llama), and prompt engineering.
Ideal Candidate Profile
Experienced in applying advanced AI techniques including fine-tuning foundation models and building RAG architectures in enterprise environments.
Skilled in scaling AI solutions in production using cloud-native tools and frameworks, with strong knowledge of MLOps and GPU orchestration.
Familiarity with storage domain (block/object/file storage) and building AI platforms serving multiple products and teams, indicating senior-level technical leadership capability.