Machine Learning Engineer

Description Location: onsite 5 days/week in Willis Tower, downtown Chicago 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. Contract to Hire 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. Benefits York Solutions Offers a generous benefits package for eligible full-time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check-ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth J-18808-Ljbffr