Job Title: MLOps Engineer
Duration: Contract
About the Role
We are seeking an experienced MLOps Engineer to build, deploy, monitor, and optimize machine learning and generative AI systems at scale. The ideal candidate will have strong experience in ML platform engineering, AI model lifecycle management, production monitoring, and LLMOps practices. You will work closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in production.
Required Qualifications
- Hands-on experience with at least one of: MLflow, Kubeflow, Amazon SageMaker, or Vertex AI.
- Experience with AI model monitoring platforms such as Arize AI, WhyLabs, Fiddler AI, or Galileo.
- Experience deploying and monitoring machine learning models in production environments.
- Strong Python programming skills and experience with ML frameworks.
- Proficiency with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
- Understanding of model monitoring concepts including drift detection, model performance tracking, and AI observability.
About AgreeYa:
AgreeYa is a global systems integrator delivering a competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 1,800+ professionals across offices. AgreeYa works with 550+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public Sector, Pharma & Biotech, Retail, Client, and others.
Equal Opportunity:
AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics.
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