Machine Learning Engineer

GHR Healthcare is seeking a Senior Machine Learning Engineer to create and deliver Machine Learning models that drive operational improvements within the healthcare sector. The role involves leading processes from data collection to model deployment, collaborating with a multi-disciplinary team to translate business challenges into data-driven solutions.

Responsibilities:

• Data mining, data cleaning, data engineering
• Select features, build, and optimize classifiers for the use of machine learning techniques
• Develop new ML algorithms to find predictive patterns
• Establish meaningful criteria for evaluating algorithm performance and suitability
• Automate model training and testing and deployment via machine learning continuous delivery pipelines
• Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code
• Optimize processes for maximum speed, performance and accuracy
• Keep up to date with Machine Learning best practices and evolving open source frameworks
• Work in an agile team in a scrum process, collaborating closely with software engineers, data scientists, data engineers, subject domain experts and QA analysts
• The ideal candidate combines deep technical expertise in machine learning with strong business acumen—able to translate ambiguous business challenges into data-driven solutions. This person partners closely with stakeholders to understand operational needs, frame analytical problems, and deliver models and systems that drive measurable business impact

Requirements:

• Bachelor's degree in Machine Learning, Computer Science, Computer Linguistics, Mathematics, or related field AND three (3) years of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling OR Master's Degree AND one (1) year of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling
• Experience working with healthcare/clinical data (MUST HAVE)
• Experience working in a multi-hospital healthcare system
• Strong hands-on experience with LLM implementation, productionalizing traditional ML models, and building CI/CD pipelines to support scalable ML deployments
• 7 years of software development experience
• Experience in programming languages like Python and Java
• Experience working with cloud-based services and systems including one or more of Amazon ML, Microsoft Azure, Google Cloud ML, or similar
• Experience in object-oriented design, data structures, and high-performance computing
• Experiences using system monitoring tools and automated testing frameworks
• Experience delivering systems and services with large scale deployment of machine learning products
• Experience in building natural language processing and computer vision systems
• Experience with Agile and Scrum Software Development methodologies
• Experience with SOA standards, including SOAP, REST, WSDL, XML, XSD, XSLT, UDDI
• Knowledge of software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Applied statistics skills
• Good written and verbal communication skills, including technical writing and PowerPoint presentations
• Adept at presenting complex topics, influencing and executing with timely and actionable follow-through
• Ability to clearly and concisely communicate with technical and non-technical customers both verbally and in writing
• Thorough understanding of the principles of data security, particularly personally-identifiable information and protected health information
• Thorough understanding of copyright compliance, intellectual property, and corporate identity programs