Senior ML/AI Engineer

Overview Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page (Hybrid Remote) Exciting ML/AI Engineer Opportunity with Thriving HealthTech Organization This Jobot Job is hosted by David DeCristofaro Salary $65,000 - $100,000 per year About Us We are an industry leader in the HealthTech space, but much more than that. We have built a customizable platform for health and wellness professionals to allow them provide the best care and treatment for their passions from start to finish. To keep it simple, our platform helps clinicians run and grow the practices with ease of service so they can concentrate on the most important thing... patients Why join us? Competitive Base Salary Ownership of feature development across the platform Best in class healthcare, dental, vision, benefits across the board Accelerated Career Growth Extremely talented engineering leadership team to partner with on your path to further your career Tackle challenging engineering tasks with state of the art new technology Job Details We are seeking an experienced and passionate Senior Machine Learning Engineer to join our team. This is an exciting opportunity to work with a team of talented engineers and data scientists, leveraging cutting-edge technologies to design, develop, and deploy advanced machine learning models. Responsibilities Collaborate with Engineering, Product, and Design to ensure ML features are optimized. Develop and deploy ML Pipelines through building end to end solutions, from data exploration to model deployment. Utilize AWS for cloud-based model deployment and Kubernetes for orchestrating and automating tasks. Lead advanced analysis to uncover insights and drive product decisions. Desired Skills & Experience BS or above in Computer Science, Statistics or a related technical field 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features Strong proficiency in Python and hands-on with advanced data analysis tools Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow Experience with AWS (or other cloud platforms) for model deployment Comfortable designing and evaluating LLM-driven workflows Familiarity with retrieval pipelines and vector databases Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom Proficiency in English with strong communication and collaboration skills Bonus Points Experience with RAG architecture and context/state management for LLMs Familiarity with LLM eval tools and human-in-the-loop evaluation process Experience with Outerbounds or similar ML orchestration platforms Experience with Argo Flows for CI/CD Experience with prompt management tools like Langfuse Familiarity with Kubernetes for container orchestration Background in healthcare, clinical workflows, or regulated domains Benefits Based on the initial salary range and role scope, benefits include comprehensive healthcare packages and career growth opportunities as listed above. Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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