Mlops Engineer
Insight Global
Job Title
Build a common AI cost tracking and observability framework across Azure, Google, and Snowflake. Integrate billing and usage APIs (Azure ML, OpenAI, Gemini/Vertex AI). Develop model-level metadata tagging for cost attribution and trend analysis. Implement and manage Datadog dashboards and alerting for latency, drift, and anomalies. Collaborate with DevOps and FinOps on model cost visualization and optimization. Deliver knowledge transfer and documentation to internal teams at project close.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.