Top Machine Learning Engineer Jobs in Lexington, KY

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

The intern will contribute to AI initiatives for Navy's IT programs, focusing on performance management, data pipelines, and automation using AI and programming.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and deliver customer experience solutions using machine learning techniques, analyze customer data, implement ML algorithms, and automate processes.

Design and develop scalable machine learning systems for fraud insights, collaborating with teams to deliver high-quality ML infrastructure effectively.