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/Tensor Flow/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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