Machine Learning Engineer

We’re looking for a Machine Learning Engineer who thrives in fast-moving, high-impact environments and can deploy ML models in production environments. (3 days onsite)

• Design, develop, and deploy machine learning solutions that support data-driven products and intelligent applications.
• Build scalable pipelines to collect, process, and prepare large datasets for model training and evaluation.
• Develop and optimize machine learning models for tasks such as classification, prediction, recommendation, or natural language processing.
• Integrate models into production systems through APIs, microservices, or cloud-based infrastructure.
• Collaborate with software engineers, data teams, and product stakeholders to deliver end-to-end AI solutions.
• Monitor model performance in production environments and implement improvements to ensure reliability, accuracy, and scalability.

• Experience designing and deploying machine learning models in production environments.
• Strong programming skills in Python and familiarity with common machine learning frameworks such as PyTorch, Tensor Flow, or scikit-learn.
• Experience building data pipelines and working with large datasets using modern data processing tools.
• Understanding of model evaluation techniques, feature engineering, and performance optimization.
• Experience integrating machine learning systems into applications using APIs or cloud-based services.
• Familiarity with containerization, version control, and modern development workflows.

Lumen Resources is an Equal Opportunity Employer