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Well-known employer and popular ML/AI role with mid-level experience requirements, moderate applicant density.
Specialized ML/LLM production and cloud skills are transferable across industries but still domain-biased.
Explicit years, mandatory production ML/LLM experience, and cloud stack increase filtering strictness.
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Design and develop scalable, resilient cloud-native AI agent applications integrated into Product Data and Lifecycle Management workflows.
Fine-tune, evaluate, deploy and maintain large language models and AI applications in production with observability and monitoring standards.
Collaborate cross-functionally to implement AI functionality using MCP or similar integration patterns and ensure code quality and security using AI-assisted engineering tools.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent experience.
Minimum 5 years of experience building cloud-native software in production environments.
At least 2 years of hands-on experience delivering AI/ML-powered systems in production, including traditional ML or LLM-based solutions.
Proficiency in Python, TypeScript, or Java and demonstrated use of AI coding tools for production delivery.
Experienced in architecting and shipping production-grade AI/ML cloud-native systems with strong focus on reliability, scalability, and observability.
Deep understanding of MCP or similar patterns to connect AI models with tools and context for agentic architectures.
Comfortable working in interdisciplinary teams and using AI-assisted engineering with rigorous code review and debugging to ensure correctness and security.