Senior ML/AI Engineer

1 day ago Be among the first 25 applicants This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $65,000.00/yr - $100,000.00/yr Direct message the job poster from Jobot. A Bit 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 skill. 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 tool like Langfuse. Familiarity with Kubernetes for container orchestration. Background in healthcare, clinical workflows, or regulated domains. Equal Opportunity Employer 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. 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By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here jobot.com/privacy-policy. Interested in hearing more? Easy Apply now by clicking the “Easy Apply” button. Seniority level: Not Applicable. Employment type: Full‑time. Job function: Engineering and Information Technology. Industries: IT Services, IT Consulting, and Software Development. #J-18808-Ljbffr