* Minimum 5 years as an individual contributor in ML engineering
* Proven experience working with teams of ML engineers or scientists
* Hands-on experience with agent-based workflows, MCP, RAG and context engineering.
* Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies
* Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
* Ability to write clear and concise OKRs and align with business expectations
* Experience with GitHub
* Solid understanding of software development life cycle, agile methodologies, and data engineering
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