- 7+ years of exp. as Machine Learning Engineer to support the AI CoEs Machine Learning and Data Science initiatives.
- Strong hands-on experience building| deploying| and operationalizing machine learning solutions in cloud environments| with expert knowledge of SQL and Python and deep experience with Azure ML| Databricks| MLflow| CI/CD pipelines| MLOps| model deployment| monitoring| and lifecycle management.
- This is a highly technical| hands-on role focused on delivering end-to-end ML solutions| including data preparation| feature engineering| model development| deployment| monitoring| and ongoing production support.
- Proven experience taking models from prototype to production| building scalable ML pipelines and services| and integrating machine learning solutions into enterprise applications and operational workflows.
- Experience with cloud-native ML platforms| automated deployment processes| and production support is essential.
- Experience with Generative AI| LLM applications| agentic AI frameworks| and GenAIOps practices including evaluation| monitoring| deployment| and lifecycle management of GenAI solutions would be considered an asset.
EEOC Compliance:
We are an equal prospect employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.