Machine Learning Engineer - Healthcare Job at Impact Advisors, Chicago, IL

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  • Impact Advisors
  • Chicago, IL

Job Description

Join to apply for the Machine Learning Engineer – Healthcare role at Impact Advisors Join to apply for the Machine Learning Engineer – Healthcare role at Impact Advisors Impact Advisors, LLC is a nationally recognized healthcare management consulting firm delivering Best in KLAS advisory, implementation, and optimization services. We are driven by a commitment to exceed client expectations and are proud to be a trusted partner to many of the nation's leading healthcare organizations. Our mission to drive patient-centered, value-driven outcomes has earned us prestigious industry accolades. To learn more about us, visit The Machine Learning Engineer will have a blend of software engineering, cloud engineering, and data science expertise. You will work directly with our clients, owning both strategy and implementation. You will be responsible for developing, deploying, and optimizing machine learning models and Generative AI/LLM-based solutions that drive insights and solutions for our healthcare clients. You will work as part of a small cross-functional team of data scientists, data engineers, and healthcare professionals to ensure that AI and machine learning solutions are effectively integrated into client operations to enhance patient outcomes, revenue and operational efficiency. Responsibility Model Development: Design, develop, fine-tune and implement machine learning models and algorithms tailored to healthcare data and client needs. Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance. Data Preprocessing: Collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation. Performance Monitoring: Monitor model performance and conduct regular maintenance to ensure accuracy and effectiveness over time. Collaboration: Work closely with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions. Documentation: Document methodologies, processes, and model configurations to ensure transparency and reproducibility. Innovation: Stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions. Consultation: Provide expert advice and recommendations to clients on the application of machine learning in healthcare settings. Domain Expertise REQ: 2+ years of experience in building, training, fine-tuning and shipping machine learning, Generative AI, deep learning models into production using cloud services (e.g., Azure ML Ops, AWS Bedrock) and libraries such as TensorFlow or PyTorch REQ: Proficiency in Python. Other language experience preferred including R, Java or other analytics/data mining tools REQ: Proficiency in model validation, A/B testing frameworks, and automated testing pipelines for production applications REQ: Confidence with managing code lifecycle with Azure DevOps or Github REQ: Extensive architecture and data modeling skills required to ship products using industry-standard data and cloud technologies (e.g., AWS Glue, Apache Airflow, Databricks, Azure Data Factory); certifications are plus REQ: Knowledge of RAG (Retrieval-Augmented Generation) and agentic frameworks REQ: Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms. REQ: Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings. Experience problem-solving for complex application failures (root cause, performance degradation, cross-system dependencies, business impact analyses) Strong written and verbal communications Up to 20% active participation in client-facing workshops, validation sessions, or educational sessions Enthusiasm and interest working with Generative AI and LLMs in the healthcare domain Advanced degree in computer science, math, statistics or a related discipline Experience working in an Agile environment Superior communication skills and ability to tailor written and spoken language to a broad variety of potential stakeholders Utilizes team collaboration to create innovative solutions efficiently Ability to inspire a followership and mobilize change agents that act as multipliers and foster the mindset Travel: Client Dependent At Impact Advisors, we are committed to transparency and equity in our compensation practices. The compensation for this role includes a salary range of $135,000 – $170,000 For salaried positions, this role may also be eligible for an annual performance bonus. Additional benefits and perks may also be available, depending on the position and employment terms. This range reflects consideration of several factors, including skills, experience, training, certifications, and organizational needs. Our People and Culture At Impact Advisors, we cultivate a caring, fun, honest, and autonomous work environment. Our success stems from our associates' dedication and a shared mission to create a “Positive Impact.” We embrace diversity and inclusion, fostering an environment where all employees feel valued and empowered. Join Impact Advisors and make a real difference in healthcare. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Impact Advisors by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. 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Job Tags

Full time, Temporary work,

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