• • • At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding. • • • On-Site - Downtown Chicago, IL 6-month contract to hire $80-100/hr. Key Responsibilities 1. End-to-end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring). 1. Architecting a highly available, secure, cloud/on-prem hybrid ML infrastructure. 1. Lead implementation of CI/CD for models (testing, rollout, rollback, governance). 1. Partner with algorithm scientists to translate ideas into production-ready code. 1. Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines. 1. Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable. 1. Mentor scientists and engineers, establish coding standards, and conduct design reviews. Required Qualifications • 8 + yrs software / ML engineering, incl. 3 + yrs architecting production ML systems. • Strong domain knowledge and experience in medical signal and image processing • Background or experience with medical devices is strongly preferred. • Deep expertise in Python; proficiency in one systems language (C++/Go/Java). • Strong working knowledge of PyTorch/TensorFlow/JAX, distributed training, and GPU optimization. • Hands-on with Docker, Kubernetes, ML orchestration (Kubeflow, Airflow, Prefect), and model registries (MLflow). • Experience operating in a regulated or mission-critical environment. • Proven record of leading project teams or mentoring ML scientists and engineers; comfortable making architectural decisions and rallying others around them. Preferred Qualifications • Background in signal processing, computer vision, or multimodal learning. • Prior involvement in FDA 510(k) / SaMD submissions or clinical-grade ML products. • Experience with data security, anonymization, synthetic data, and federated learning. • Publications, patents, or open-source leadership are a plus. • Demonstrated ability to scale yourself through others — e.g., setting coding standards, running design reviews, or leading guilds/chapters. Soft Skills: Strategic mindset, bias for action, excellent written & verbal communication, team-first attitude.