Machine Learning Engineer
3 weeks ago
Machine Learning Engineer(Permanent, Full-time)About you:You've always been passionate about leveraging technology to solve real-world problems,particularly in healthcare, with a deep fascination for AI and machine learning, especially inareas like natural language processing and large language models. This interest shaped yourcareer in machine learning and software engineering, where you've gained valuableexperience in developing and deploying production-grade ML solutions.Now seeking the next step in your career, you bring technical expertise, problem-solvingskills, and meticulous attention to detail, taking pride in producing high-quality code thatdrives improvements in patient care. You're excited to explore cutting-edge ML frameworksand LLM technologies while working with a collaborative team that values innovation, andyou're ready to make your mark in shaping the future of AI in healthcare.If this is you, then it is time to make a bold move and leave your markAbout Us:PENTAVERE (a HEALWELL AI™ company) is a leading healthcare technology company focusedon patient identification leveraging AI and data science.Our Mission is to improve healthcare and save lives through the early identification anddetection of disease.Our breakthrough DARWEN™ AI platform dramatically accelerates time to discovery ofinsights buried in the structured and unstructured clinical text and documents withinelectronic health records. By unlocking the power of real-world data, Pentavere’s DARWEN™AI platform allows clinicians, researchers, and healthcare organizations to rapidlyunderstand the patient experience through time and at scale, to ensure every patientreceives the best preventative care.The Role:We're seeking a creative and collaborative Machine Learning Engineer to join our team inbuilding innovative healthcare AI solutions. This role combines deep technical expertise inmachine learning with strong software engineering fundamentals to develop and deploy AIapplications that directly impact patient care and clinical workflows.We value individuals who can combine technical excellence with creativity, and who arepassionate about solving complex problems in healthcare through AI innovation. The idealcandidate will demonstrate both strong technical capabilities and a genuine interest inhealthcare applications.In this role you will:Design and implement cutting-edge medical AI applications with focus on LLM-based solutionsBuild and maintain production-grade ML systems for healthcare technologyCreate and optimize text summarization workflows and automated analysis systemsContribute to R&D initiatives, including research implementation and comparative analysisImplement systematic evaluation methods for model performance and pipeline monitoringSupport technical decision-making and establish best practices for AI developmentHelp identify and implement AI integrations that improve patient care Impact & Growth Opportunities:Contribute to innovative healthcare solutions that improve patient outcomesHelp establish and follow technical standards for AI in healthcareSupport transformation of clinical workflows through AI innovationContinuous learning opportunities in healthcare AI technologyBuild solutions that directly impact patient careYour Mindset & Approach:Creative problem-solver who can balance innovation with practical implementation focusCurious and open-minded approach with drive to explore and evaluate new technologiesStrong interest in understanding user needs and technical requirementsDetail-oriented with strong emphasis on code quality and testingCollaborative team player who values knowledge sharingExcellent written and verbal communication skillsYour Technical Skills:Strong software engineering fundamentals with experience in building production-grade systemsDeep understanding of machine learning, particularly in NLP and large languagemodelsExperience with LLM implementation and testing workflowsHands-on experience with modern ML frameworks (transformers, PyTorch) and MLOps practicesProficiency in Python and related ML/data science librariesExperience with containerization and microservicesUnderstanding of CI/CD principlesYour Experience:Experience in machine learning engineering or software engineering rolesTrack record of implementing ML solutions in production environmentsExperience with the full ML lifecycle, from data preparation to deploymentExperience with monitoring and logging systemsBackground in working with structured and unstructured dataWhat makes you stand out:Contributions to open-source ML projects or research publicationsExperience in healthcare or medical domainsBackground in building LLM-based applicationsGPU optimization expertiseFamiliarity with distributed systemsIf the idea of working for a disruptive AI company to improve healthcare is the type ofopportunity you have been waiting for, please apply on LinkedIn with your Resume/CV.
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