Senior MLOps Engineer

I'm partnering with an established fintech organization that is looking to add a Senior MLOps Engineer to its growing Machine Learning team. Location: Hybrid (3 days/week onsite) – Candidates must be located in or willing to commute to one of the following: Scottsdale, AZ Chicago, IL San Francisco, CA New York, NY In this role, you'll build and scale cloud-native MLOps infrastructure that enables data scientists to deploy real-time machine learning models into production. You'll collaborate with Data Science, Engineering, and Product teams to automate the machine learning lifecycle, optimize model performance, and deliver scalable AI solutions. What they're looking for: 5+ years of experience in MLOps, ML Engineering, or Data Science Strong Python development skills Hands-on experience with AWS, Docker, Kubernetes, and CI/CD Experience with MLflow, Kubeflow, or similar MLOps platforms Background deploying production ML models at scale Experience with Spark, Hadoop/Cloudera, or Scala/Java is a plus If you're interested in learning more, send Natalie Urrego an email to natalie.urrego@talentinternational.com with your resume or apply today!