Our Client, a Business/Productivity Software company, is looking for a Senior MLOps Engineer for their Ann Arbor, MI/ Hybrid location. Responsibilities: + Design, deploy, and manage scalable data pipelines for AI/Machine Learning, integrating with tools like Kubernetes, EMR, Databricks, and Luigi. + Collaborate with data engineering, business analysts, product owners, and other engineering teams to align on requirements and deliver robust ML solutions. + Build and maintain automated CI/CD pipelines for model deployment, versioning, and monitoring. + Ensure cross-cloud compatibility and optimize multi-cloud architectures (AWS, Azure). + Use and manage tools such as Kubeflow, Airflow, and MLflow for pipeline orchestration, experiment tracking, and deployment. + Implement monitoring and observability tools for model performance, data drift, and reliability using Prometheus, Grafana, and Evidently AI. + Leverage Kafka for efficient data streaming and real-time processing capabilities within AI/Machine Learning pipelines. + Conduct regular code and infrastructure reviews, prioritizing maintainability and scalability. + Stay hands-on with programming, mostly using Python, where appropriate to support Spark-based workflows. Requirements: + 5-10 years of experience in MLOps, with a strong background in cloud-native machine learning, data engineering, and automation. + Proficiency in Python. + Experience with best-in-class tools for MLOps and data engineering, such as EMR, Databricks, Luigi, Kafka, MLflow, and Airflow. + Proven experience with CI/CD pipelines and testing frameworks for model and pipeline deployment. + Hands-on experience with multi-cloud environments, especially AWS and Azure. + Strong understanding of observability, monitoring, and model drift detection. + Solid grasp of DevOps principles, with practical experience in production-level model and data pipeline support. + Excellent problem-solving skills and ability to work effectively in a collaborative environment. + 5-10 years, ideally with practical AI experience + Bachelor's degree in Computer Science, Data Engineering, or a related field Why Should You Apply? + Health Benefits + Referral Program + Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.