Machine Learning Engineer – Healthcare Focused
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Machine Learning Engineer developing ML solutions in healthcare settings, collaborating with a team to implement and optimize models for operational efficiency.
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.
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
- Publications at top-tier peer-reviewed conferences or journals.
- Successful Kaggle competition with top ranking.
- Experience with healthcare and/or finance.
- Experience in data science, mathematics.
- 3 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, 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.
Benefits:
- Normal office environment
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Similar Jobs
Staff Machine Learning Engineer
Staff ML Engineer designing and developing AI systems for healthcare, focusing on automation of credentialing and verification processes. Leading ML initiatives on a supportive engineering team.
Principal Machine Learning Engineer, Ads Personalization
Principal Machine Learning Engineer leading efforts for ad personalization in streaming at Paramount. Driving technical roadmap and innovating algorithms for user experience and business success.
Principal Machine Learning Engineer, Presentation – Visual Optimization
Principal Machine Learning Engineer at Paramount leading visual optimization and presentation strategies for streaming content. Managing artwork personalization, layout design, and real-time experimentation.
Staff / Principal Machine Learning Engineer
Staff/Principal Machine Learning Engineer at Inworld developing real-time multimodal models for top AI solutions. Join a collaborative team focused on shaping impactful AI technologies in Switzerland.
MLOps Engineer – Healthcare
MLOps Engineer at Experian building scalable machine learning solutions for healthcare revenue cycle optimization. Collaborating with cross-functional teams to productionize ML models and ensure compliance with standards.
Applied ML Engineer, Data
Applied ML Engineer at Cantina Labs building data pipelines for video generation models. Excited about AI's role in creativity and social interactions.
Director of AI & Machine Learning
Director of AI & Machine Learning leading AI capability across MicroTech to develop solutions and improve operational efficiency.
Machine Learning Scientist
Machine Learning Scientist developing generative models for biomolecular structure prediction at Iambic Therapeutics. Contributing to core ML technologies relevant for drug discovery.
Machine Learning Engineer
Machine Learning Engineer at Adapter focusing on deploying ML models and optimizing performance. Engaging with cross-functional teams to implement innovative AI solutions.
ML Engineer – Speech-to-Speech, Subject Matter Expert
Experienced ML Engineer advising on speech-to-speech pipeline for Vosyn, an AI startup. Collaborate to optimize TTS models and lead technical initiatives.
Senior Manager – Machine Learning
Senior Manager leading the Machine Learning team to enhance CCC’s subrogation products. Collaborating with stakeholders and delivering innovative AI solutions in the insurance technology space.
Senior AI/ML Engineer
Senior AI/ML Engineer designing and implementing workflows leveraging LLMs at iBusiness. Collaborating with cross-functional teams to develop scalable AI-driven solutions.
Machine Learning Engineer – Mid-level
Machine Learning Engineer responsible for developing and operating scalable ML solutions at Extractta. Collaborating with product, data, and engineering teams to deliver robust models.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at IQVIA leading ML applications design focusing on generative AI solutions. Collaborating with teams and guiding development of production-grade algorithms.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing core ML models and data pipelines for a gaming company. Seeking an autonomous engineer with deep passion for video games.
Machine Learning Engineer
Machine Learning Engineer developing AI safety solutions at Gray Swan. Focus on real-world impact in adversarial testing and model evaluation.
Staff Machine Learning Engineer – Generative AI, Full-Stack Applications
Senior Machine Learning Engineer developing AI solutions and full-stack applications for CVS Health. Collaborating with teams to design and prototype secure, resilient products and platform components.
Senior Machine Learning Engineer – Consultant
Senior AI/ML Engineer Consultant responsible for implementing AI solutions and mentoring juniors at leading AI consultancy Provectus. Join to solve complex technical challenges and impact enterprise clients.
Machine Learning Engineer
Machine Learning Engineer designing and evaluating deep learning models for agricultural robotics applications. Collaborating with engineers and product teams to enhance model performance in real-world scenarios.
Senior Machine Learning Engineer – AI Product
Machine Learning Engineer for AI Product team at Qonto, developing customer-facing AI solutions. Collaborating with stakeholders and ensuring integration of ML solutions into financial services.