Machine Learning Engineer

products.\u003c/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eRESPONSIBILITIES:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse a variety of machine learning methods to solve healthcare-related problems using cloud-based technologies.\u003c/li\u003e\n\u003cli\u003eTransform innovative AI prototypes into production-ready solutions through rigorous engineering practices.\u003c/li\u003e\n\u003cli\u003eWork cross functionally with engineers to integrate AI/ML features into our applications.\u003c/li\u003e\n\u003cli\u003eWork alongside science and product to identify and solve high-value machine learning use-cases.\u003c/li\u003e\n\u003cli\u003eMaintain and monitor existing AI/ML functionality.\u003c/li\u003e\n\u003cli\u003eResearch topics in machine learning and AI to stay up-to-date on emerging trends in the field.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQUALIFICATIONS:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRequired\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eA BSc/MSc/PhD degree (or equivalent) in mathematics, data science, computer science, statistics, electrical engineering, bioinformatics, biomedical engineering or a related STEM field.\u003c/li\u003e\n\u003cli\u003e6+ years of relevant work experience.\u003c/li\u003e\n\u003cli\u003eExpert in Python programming for full data science lifecycle (ETL, data exploration, cleaning/pre-processing, feature engineering, model training, evaluation, deployment, monitoring). Tech stack: SQL, Scikit-learn, Numpy, Pandas, Pytorch, Transformers.\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eExperience with LLMs: prompt engineering, RAG, fine-tuning.\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eHighly analytical, problem-solving mindset with a demonstrated ability to work in cross-functional teams and independently solving ill-defined problems on data from heterogeneous sources.\u003c/li\u003e\n\u003cli\u003eInterested in partnering with product teams to solve complex business problems with AI/ML.\u003c/li\u003e\n\u003cli\u003eStrong communication skills, in fluent English, with ability to explain complex concepts to a variety of audiences.\u003c/li\u003e\n\u003cli\u003eExperience with version control software (e.g., Git)\u003c/li\u003e\n\u003cli\u003eExperience working with containerized compute (e.g., Docker, Kubernetes)\u003c/li\u003e\n\u003cli\u003eExperience working with cloud platforms (e.g., AWS)\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePreferred\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience in the healthcare industry or experience working with large, complex medical / healthcare data (e.g., insurance claims, EHR, CDISC).\u003c/li\u003e\n\u003cli\u003eExperience with AWS Bedrock and/or other LLM platforms.\u003c/li\u003e\n\u003cli\u003eExperience with MLOps.\u003c/li\u003e\n\u003cli\u003eExperience with software engineering best practices.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan\u003eAetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or genetic information.\u003c/span\u003e\u003c/p\u003e\n\u003c/div\u003e\n","employmentType":"FULL_TIME","industry":"Startups","occupationalCategory":"15-1132.00 Software Developers, Application","title":"Senior Machine Learning

[{"@context":"http://schema.org","@type":"JobPosting","datePosted":"2025-10-08T09:26:20Z","description":"\u003cdiv class=\"trix-content\"\u003e\n \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eWELCOME to Aetion, a Datavant company!\u003c/strong\u003e\u003c/span\u003e\u003cspan\u003e\u003cspan\u003e \u003cspan\u003eWe are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Generate, Discover, and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness and value of medications, delivering better outcomes to patients, medical professionals, and clients. We've partnered with top biopharma companies and are backed by leading venture capital firms to help increase our medical research and expand our product line. Aetion is headquartered in the US and has expanded throughout Europe with a Technology Hub in Barcelona.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eAetion and Aetion's leadership are recipients of several prestigious awards:\u0026nbsp;\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eParity.org's\u003ca href=\"https://aetion.zoom.us/j/98545281436\"\u003e\u0026nbsp;2024 List of Best Companies for Equal Advancement Opportunities\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eDigital Health New York's\u0026nbsp;\u003ca href=\"https://www.dhny.co/dh100\"\u003e2024 New York Digital Health 100\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eNewsweek's\u0026nbsp;\u003ca href=\"https://www.newsweek.com/rankings/worlds-best-digital-health-companies-2024\"\u003eWorld's Best Digital Health Companies of 2024\u0026nbsp;\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eCome join us!\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePERKS of being an A-Teamer:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e25 vacation days.\u003c/li\u003e\n\u003cli\u003eDaily in-office lunch stipend (and a fully stocked kitchen).\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eSabbatical opportunity after five years of employment.\u003c/li\u003e\n\u003cli\u003eCommitment to professional development opportunities.\u003c/li\u003e\n\u003cli\u003eEmployee-led initiatives including annual company-wide innovation day \u0026amp; DEI resource groups.\u003c/li\u003e\n\u003cli\u003eComprehensive private health coverage w/ out-of-network reimbursements options.\u003c/li\u003e\n\u003cli\u003ePeer \u0026amp; company recognition programs.\u003c/li\u003e\n\u003cli\u003eMonthly educational lunch \u0026amp; learns.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eWhy join Aetion's tech team?\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eYou'll join and collaborate with our global team and engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan\u003eThe team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems and algorithmic complexity.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan\u003eYou'll have the opportunity to develop your career, including coaching and mentoring colleagues (code reviews, higher-level software design) and / or direct management\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan\u003eLooking for more insight into our culture? Check out our LinkedIn Life page here:\u0026nbsp; \u003c/span\u003e\u003ca href=\"https://www.linkedin.com/company/aetion-inc-/life/lifeataetion\"\u003e\u003cspan\u003ehttps://www.linkedin.com/company/aetion-inc-/life/lifeataetion\u003c/span\u003e\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eDESCRIPTION:\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThe Senior Machine Learning Engineer (EU) is expected to lead and contribute to all parts of the software development lifecycle, including architecture, design, development, documentation, testing, and operations. As a member of a rapidly evolving engineering organization, the Senior Machine Learning Engineer will need to be able to cross functions easily and collaborate with other highly effective individuals, including members of the C-suite.\u003c/p\u003e\n\u003cp\u003eThis is a challenging engineering role that offers a great opportunity to grow with Aetion and make a difference by helping expand the use of Aetion's