Senior AI/ML Engineer

Visiting Nurse Service of New York • New York, NY • 2h ago

Overview Are you passionate about shaping the future of healthcare through applied artificial intelligence and machine learning? We're looking for a Senior AI/ML Engineer who thrives at the intersection of applied data science, scalable systems, and intelligent automation. In this role, you'll design, deploy, and optimize production-grade AI and ML services that drive improved clinical and business outcomes. You'll collaborate with data scientists, engineers, and clinicians to build robust pipelines and intelligent services using AWS SageMaker, Snowflake Cortex, Palantir AIP, Airflow, and GitLab CI/CD. You'll help advance both traditional ML models and next-generation AI applications, ensuring all systems are reliable, observable, and responsibly deployed.At this time, we are unable to offer visa sponsorship for this role. What We Provide Referral bonus opportunities Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability Employer-matched retirement saving funds Personal and financial wellness programs Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care Generous tuition reimbursement for qualifying degrees Opportunities for professional growth and career advancement Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities What You Will Do Design and optimize MLOps pipelines using Airflow, SageMaker, and GitLab CI/CD, emphasizing automation, observability, and reproducibility. Lead technical design and implementation of production ML systems, including data pipelines, training workflows, and inference services. Collaborate with data scientists to operationalize advanced ML and AI models, ensuring performance, scalability, and maintainability. Implement @context- and prompt-engineered AI components where applicable, integrating foundation models into existing ML ecosystems. Design and implement AI-powered services using Snowflake Cortex and Palantir AIP. Contribute to system architecture and platform reliability, making key technical decisions that enable sustainable AI/ML operations. Mentor junior engineers and data scientists on software engineering best practices, testing, and deployment. Ensure compliance with healthcare standards for explainability, auditability, and responsible AI/ML (e.g., ONC DSI and FAVES standards). Why Join Us High-impact work: Build production AI/ML systems that directly improve patient outcomes and operational efficiency. Modern tech stack: Leverage tools like Snowflake Cortex, Palantir AIP, and SageMaker to deliver enterprise-scale solutions. Engineering excellence: Lead initiatives that strengthen our MLOps foundations and platform reliability. Collaborative culture: Work with a mission-driven team that values curiosity, accountability, and innovation. Career growth: Influence platform strategy, guide best practices, and shape the next generation of healthcare AI/ML systems. Qualifications Education Bachelor's degree in Computer Science, Engineering, or a related field required Master's degree in Computer Science, Data Science, or a related discipline preferred Experience 3+ years of experience building and deploying production ML systems required Strong proficiency in Python and ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow) Demonstrated experience leading MLOps development, including model training, inference, monitoring, and CI/CD automation Proficiency with containerized services (Docker, SageMaker, MLflow) and cloud platforms (AWS preferred) Skilled in SQL, dbt, and orchestration tools (e.g., Airflow) Experience with prompt or @context engineering for applied L

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