{"id":196625,"date":"2026-01-23T23:00:07","date_gmt":"2026-01-23T23:00:07","guid":{"rendered":"https:\/\/www.harnham.com\/job\/eb8cdd1a-d1d1-4f13-3bd8-08d5dc096ea6-principal-mlops-engineer-new-york\/"},"modified":"2026-03-10T00:03:20","modified_gmt":"2026-03-10T00:03:20","slug":"eb8cdd1a-d1d1-4f13-3bd8-08d5dc096ea6-principal-mlops-engineer-new-york","status":"publish","type":"job_listing","link":"https:\/\/www.harnham.com\/job\/eb8cdd1a-d1d1-4f13-3bd8-08d5dc096ea6-principal-mlops-engineer-new-york\/","title":{"rendered":"Principal MLOps Engineer"},"content":{"rendered":"<h4><strong><a id=\"myCustomID\" href=\"https:\/\/www.harnham.com\/job\/EB8CDD1A-D1D1-4F13-3BD8-08D5DC096EA6\">To Apply for this Job Click Here<\/a><\/strong><\/h4>\n<p><strong>Principal MLOps Engineer<\/strong><\/p>\n<p><strong>New York, New York &#8211; 3 days\/week hybrid<\/strong><\/p>\n<p><strong>$250,000-275,000 base salary + bonus + equity<\/strong><\/p>\n<\/p>\n<p><strong>THE COMPANY<\/strong><\/p>\n<p>Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.<\/p>\n<\/p>\n<p><strong>THE ROLE<\/strong><\/p>\n<ul>\n<li>You will be responsible for machine learning model deployment and scalability for the company&#8217;s agentic AI product across HUNDREDS of hospitals<\/li>\n<li>You will report directly to the founding team and work closely on technical direction<\/li>\n<li>Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications<\/li>\n<li>You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems<\/li>\n<li>Own CI\/CD pipelines for MLOps \/ LLMOps<\/li>\n<li>You will play an integral role of building out the AI team and scaling out its product<\/li>\n<li>Act as a thought leader role for AI across the business, mentoring junior team members<\/li>\n<\/ul>\n<p><strong>YOUR SKILLS AND EXPERIENCE<\/strong><\/p>\n<p><strong>The successful Principal MLOps Engineer will likely have the following skills and experience:<\/strong><\/p>\n<ul>\n<li>10+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems<\/li>\n<li>Experience working in a scaling startup is highly preferred<\/li>\n<li>Expertise in Python (TensorFlow, PyTorch) for production-grade work<\/li>\n<li>Commercial experience building novel AI platforms with large datasets<\/li>\n<li>History of working with and managing real-time AI applications in production settings<\/li>\n<li>Cloud experience in AWS, Azure or GCP<\/li>\n<li>DevOps experience with CI\/CD pipelines required<\/li>\n<li>History of working on models from concept to production \/ end-to-end \/ 0-1<\/li>\n<li>Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar<\/li>\n<li>Containerization experience with Docker or Kubernetes<\/li>\n<li>Experience in settings wearing multiple hats<\/li>\n<li>Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred<\/li>\n<li>History of partnering with non-technical stakeholders required<\/li>\n<li>Experience owning projects directly preferred<\/li>\n<li>BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar<\/li>\n<\/ul>\n<p><strong>THE BENEFITS<\/strong><\/p>\n<p>A competitive base salary of $250,000-275,000 + benefits + equity<\/p>\n<\/p>\n<p><strong>HOW TO APPLY<\/strong><\/p>\n<p>Please register your interest by sending your r\u00e9sum\u00e9 to Tim Jonas via the Apply link on this page.<\/p>\n<\/p>\n<p><strong>KEYWORDS<\/strong><\/p>\n<p>Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI\/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights &amp; Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents<\/p>\n<p><img src=https:\/\/counter.adcourier.com\/dGltam9uYXMuNDg5NDMuMTMxOTdAaGFybmhhbXNlYXJjaC5hcGxpdHJhay5jb20.gif><\/p>\n<h4><strong><a id=\"otherId\" href=\"https:\/\/www.harnham.com\/job\/EB8CDD1A-D1D1-4F13-3BD8-08D5DC096EA6\">To Apply for this Job Click Here<\/a><\/strong><\/h4>\n","protected":false},"author":0,"featured_media":0,"template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","inline_featured_image":false,"_promoted":"","_job_location":"New 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