***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.***

Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. On-Site - Downtown Chicago, IL 6-month contract to hire $80-100/hr. Key Responsibilities End-to-end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring). Architecting a highly available, secure, cloud/on-prem hybrid ML infrastructure. Lead implementation of CI/CD for models (testing, rollout, rollback, governance). Partner with algorithm scientists to translate ideas into production-ready code . Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines. Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable. 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.

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