We are seeking a Senior MLOps Engineer in Fort Lauderdale, FL to join a high-performing team focused on building and scaling enterprise machine learning platforms. This role is responsible for designing, deploying, and optimizing production-grade ML infrastructure that enables data science teams to efficiently move models from experimentation to production. The ideal candidate has deep experience with Databricks, Apache Spark, Python, and CI/CD practices, along with a strong understanding of the full machine learning lifecycle. This position offers the opportunity to support innovative initiatives involving real-time analytics, recommendation engines, customer personalization, and AI-powered applications.

Responsibilities:

• Design, build, and maintain scalable machine learning pipelines on Databricks
• Deploy, monitor, and manage machine learning models in production environments
• Develop and maintain CI/CD pipelines for ML and data workflows
• Build and support batch, streaming, and real-time data pipelines
• Partner with Data Scientists to operationalize and optimize machine learning solutions
• Implement model versioning, experiment tracking, and reproducible ML processes
• Establish and promote ML engineering best practices, governance, and quality standards
• Monitor model performance, data quality, and drift while supporting automated retraining strategies
• Optimize distributed workloads for performance, scalability, and cost efficiency
• Contribute to platform architecture supporting low-latency model inference and scalable model serving