AI/ML Engineer

Work Authorization: Minimum 7-8 years of total experience 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 We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.