Acentra Health · 2 days ago
Senior Machine Learning Engineer
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Health Care
Insider Connection @Acentra Health
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
Qualification
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Required
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
Benefits
Comprehensive health plans
Paid time off
Retirement savings
Corporate wellness
Educational assistance
Corporate discounts
Company
Acentra Health
Acentra Health is a provider of clinical services and technological solutions to government healthcare organizations.
H1B Sponsorship
Acentra Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (14)
Funding
Current Stage
Late StageTotal Funding
unknown2022-11-09Acquired· by The Carlyle Group
Company data provided by crunchbase