Machine Learning Specialist

About Acentra Health : Acentra delivers a broad range of health information technology enterprise solutions and customizable products to a diverse base of state and federal agencies.

We align, build, and manage innovative, high-quality, cost-effective solutions that help customers achieve their mission, enhance business performance, reduce costs, and improve the health for over 50 million Americans.

With locations throughout the U.S. and in India, Acentra employs a world-class team of technologists, healthcare subject-matter experts and program managers, all of whom have experience with large scale mission-critical information technology implementations.

Innovation and commitment to our mission are core to our DNA. And through our shared values, we foster an environment of inclusion, empowerment, accountability, and fun.

What you will do ?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 medicineExplore and implement state-of-the-art ML techniques, including supervised and unsupervised learning, deep learning, and NLPDevelop and implement data cleaning, feature engineering, and data augmentation techniques to improve model performance and generalizabilityEvaluate and validate ML models using appropriate metrics and methodologies, ensuring robustness, accuracy, and reliabilityInterpret and communicate model results to domain experts and stakeholders, providing actionable insights and recommendationsOptimize models for performance, scalability, and real-time predictions, considering computational constraints and regulatory requirementsDesign and develop innovative solutions using LLMs and foundation models to solve business problems and create operational efficienciesLead the AI and ML development process and oversee CI / CD pipelinesDocument code, methodologies, and experimental results to ensure reproducibility and knowledge sharingTrain junior level engineers and serve as a mentor for learning new technologies, best practices, and company cultureCollaborate with cross-functional teams, including data scientists, clinicians, researchers, and product managers, to translate business requirements into technical solutionsStay abreast of the latest advancements in ML, AI, LLMs, healthcare informatics, and regulatory landscape to inform decision-making and drive innovationWho you are5+ years of experience as a ML Engineer5+ years of experience with object-oriented scripting languages, such as Python or R5+ years of experience with developing ML models and NLP techniques5+ years of experience with data preprocessing and feature engineering2+ years of experience with LLMs and GenAI3+ years of cloud computing experience using Azure and / or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systemsProven experience with successfully deploying solutions using LLMs and foundation modelsProven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based modelsProven experience successfully developing and deploying ML algorithms, statistical analysis, and data mining techniquesProven experience mentoring ML Engineers and colleaguesDemonstrable experience developing innovative ideas and solutionsFamiliarity 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 desirableProficiency in using data manipulation and analysis tools, such as SQL, Pandas, and NumPyThe ideal candidate will possess strong skills in UI / UX design and API development, enabling them to contribute across the full stack of our technology solutions.

Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teamsEducationBachelor of Science in Computer Science, data science or a related fieldMaster’s degree would be added advantage