AI/ML Engineer_only on W2

• Title: AI/ML Engineer • Only on W2 • ONly USC/GC • Primary Focus: Software engineering-heavy role with emphasis on OOP and CICD pipelines. ML experience is secondary. • Required Skills : • Object-Oriented Programming (OOP): • Strong understanding of classes, objects, and core OOP principles. • Experience working in large, shared codebases. • CICD Pipelines: • Experience working with solid code pipelines. • Comfort with deploying containerized code is helpful but not essential. • Cloud Experience: • General familiarity with cloud infrastructure. • Candidates with exclusively on-prem backgrounds may struggle Key Technical Requirements Must-Have Skills • Object-Oriented Programming (OOP): • Strong understanding of classes, objects, and core OOP principles. • Experience working in large, shared codebases. • CICD Pipelines: • Experience working with solid code pipelines. • Comfort with deploying containerized code is helpful but not essential. • Cloud Experience: • General familiarity with cloud infrastructure. • Candidates with exclusively on-prem backgrounds may struggle. Nice-to-Have / Bonus Skills • Languages & Tools: • Python (can be light if candidate has strong Java background). • Terraform, Databricks (considered “gravy,” not core). • Splunk, AWS CloudWatch. • ML Experience: • Core ML pipeline and model serving experience is a plus but not required. Team & Culture Fit • Learning & Growth: • The hiring manager is ready and willing to teach. • Ideal for developers curious to expand into DevOps/MLOps. • Collaboration: • Must be comfortable with live coding during interviews (e.g., screen sharing via Teams). • Strong communication and willingness to collaborate are key. Ideal Candidate Profile • Software engineer with solid OOP fundamentals. • Experience in CICD and cloud environments. • Curious and motivated to grow into DevOps/MLOps. • Comfortable with live coding and collaborative problem-solving.