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Senior Machine Learning Engineer

4 months ago

Raleigh, United States CNSI Full time

CNSI and Kepro are now Acentra Health Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact. Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the company’s mission, actively engage in problem-solving, and take ownership of your work daily. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector. Acentra seeks a Sr. Machine Learning Engineer to join our growing team. Job Summary: Work at the intersection of data science and software engineering, building, deploying, and optimizing machine learning (ML) models and pipelines, with a strong emphasis on large language models (LLMs), generative AI (GenAI), and natural language processing (NLP). Will help improve patient outcomes and drive innovation and efficiency in healthcare. The ideal candidate will have a proven record of successfully deploying machine learning models, LLM based solutions, understanding of the software development lifecycle (SDLC), proficiency in continuous integration and continuous development (CICD) pipelines, experience with MLOps, and proven experience mentoring junior level engineers. Job Responsibilities: Design, develop, and implement ML models and algorithms to solve healthcare-related problems, such as disease prediction, patient risk stratification, clinical decision support, and personalized medicine Explore and implement state-of-the-art ML techniques, including supervised and unsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and data augmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics and methodologies, ensuring robustness, accuracy, and reliability Interpret and communicate model results to domain experts and stakeholders, providing actionable insights and recommendations Optimize models for performance, scalability, and real-time predictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundation models to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensure reproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learning new technologies, best practices, and company culture Collaborate with cross-functional teams, including data scientists, clinicians, researchers, and product managers, to translate business requirements into technical solutions Stay abreast of the latest advancements in ML, AI, LLMs, healthcare informatics, and regulatory landscape to inform decision-making and drive innovation Why us? We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes. We do this through our people. You will have meaningful work that genuinely improves people's lives nationwide. Our company cares about our employees, giving you the tools and encouragement, you need to achieve the finest work of your career. Thank You We know your time is valuable, and we thank you for applying for this position. Due to the high volume of applicants, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in

Acentra Health

and invite you to apply to future openings that may interest you. Best of luck in your search ~ The Acentra Health Talent Acquisition Team Visit us at Acentra.com/careers/ EOE AA M/F/Vet/Disability Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable Federal, State, or Local law. Benefits Benefits are a key component of your rewards package. Our benefits are designed to provide additional protection, security, and support for your career and life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more. Compensation The pay rate for this position is $115-140K “Based on our compensation philosophy, an applicant’s placement in the pay range will depend on various considerations, such as years of applicable experience and skill level.” Master’s degree in computer science, data science, or a related field 5+ years of experience as a ML Engineer with a focus on healthcare projects 5+ years of experience with object-oriented scripting languages, such as Python or R and developing ML models and NLP techniques, data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 3+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Proven experience successfully developing and deploying ML algorithms, statistical analysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical imaging formats (DICOM), and relevant healthcare regulations (e.g., HIPAA) is highly desirable Proficiency in using data manipulation and analysis tools, such as SQL, Pandas, and NumPy

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