AI Machine Learning Engineer

Description Logistics

Type: 6+ month contract to hire (C2H is a must have).

Location:

Willis Tower, downtown Chicago, IL - 5 days on-site, after conversion only 4 days on-site required.

This team is looking for someone passionate about machine learning who can join a startup-like division. They are on the cutting edge of AI initiatives. This team supports many ongoing AI initiatives all centered around medical devices, so healthcare/med device/pharma experience is highly preferred.

Drive the technical execution of AI initiatives by bridging advanced algorithm research with scalable engineering. You will own the completion and future evolution of the PAI AI Development foundation, stand-up production‑grade MLOps, and act as the connective tissue between data, infrastructure, and algorithm teams.

• 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.

• 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.

• 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.

• 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 lenses.
• 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.