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Machine Learning Engineer Job at York Solutions, LLC in Chicago

York Solutions, LLC, Chicago, IL, United States


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

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In Summary: York Solutions is located in Willis Tower, downtown Chicago . 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 . Partner with algorithm scientists to translate ideas into production-ready code .

En Español: En este momento, no podemos considerar candidatos que requieran patrocinio de visado o agencias de reclutamiento de terceros para esta función. Te agradecemos por tu comprensión.*** Contrato para contratar Responsabilidades Claves Diseño y entrega de soluciones ML (ingestión de datos, ingeniería de características, capacitación, validación, implementación, monitoreo). Arquitectura de una infraestructura híbrida en la nube / en el centro de Chicago. Experiencia operando en un entorno regulado o de misión crítica. Un historial comprobado de los equipos líderes del proyecto o mentores científicos e ingenieros ML; cómodo tomar decisiones arquitectónicas y reunir a otros alrededor de ellos. Qualificaciones preferidas antecedentes en procesamiento de señales, visión por computadora o aprendizaje multimodal. Participación previa en las presentaciones de la FDA 510 ((k) / SaMD o productos ML de grado clínico. experiencia con seguridad de datos, anonimización, datos sintéticos y aprendizaje federado. Publicaciones, patentes o liderazgo de código abierto son una ventaja. Capacidad demostrada para elegir usted mismo a través de otros Por ejemplo, fijar estándares de codificación, ejecutar revisiones de diseño o guildas/capítulos principales. Competencias suaves: mentalidad estratégica, sesgos para acción, excelente comunicación verbal y al principio de tiempo. Beneficios: Servicios jurídicos de atención personalizada ofrecen un paquete gratuito de seguros legales que incluyen planes de seguro de vida y pensiones, descuentos anuales pagados por parte de compañías como el Seguro Médico de Muerte y Salud (HPSPV), Plan de Cuidado de Pensilvania y Jubierta Pediaria, así como beneficios deductibles para los empleados de la compañía Sanitaria de Salvistas de Salud y Deltancia de Hospitalario (Del Hospital). Ambiente de trabajo flexible con algunas oportunidades de trabajo remoto Un entorno divertido y en equipo Aprendizaje, desarrollo y crecimiento profesional #J-18808-Ljbffr