Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract-to-hire arrangement, based onsite in Willis Tower, downtown Chicago. Requires 8+ years in software/ML engineering, strong medical signal/image processing experience, and proficiency in Python and ML frameworks.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 7, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Airflow #TensorFlow #Cloud #Java #C++ #Signal Processing #ML (Machine Learning) #Leadership #Compliance #Data Ingestion #Monitoring #Deployment #Docker #Python #MLflow #Security #Image Processing #GDPR (General Data Protection Regulation) #Data Security #Kubernetes #PyTorch
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, York Solutions, LLC, is seeking the following. Apply via Dice today! Location: onsite 5 days/week in Willis Tower, downtown Chicago β€’ β€’ β€’ 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. β€’ β€’ β€’ 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: β€’ BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) β€’ Delta Dental plan with 2 free cleanings and insurance discounts β€’ Eye Med Vision with annual check-ups and discounts on lens β€’ Life and Accidental Death Insurance paid by company β€’ John Hancock 401(k) Retirement Plan with discretionary company match β€’ Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. β€’ Flexible work environment with some remote working opportunities β€’ Strong fun and teamwork environment β€’ Learning, development, and career growth