{"id":2033,"date":"2026-03-28T14:18:18","date_gmt":"2026-03-28T14:18:18","guid":{"rendered":"https:\/\/eightelevengroup.instaging.io\/jobs\/job\/a1wcv000000edsveak-lead-ai-ml-engineer-new-york-new-york\/"},"modified":"2026-04-06T15:21:42","modified_gmt":"2026-04-06T15:21:42","slug":"a1wcv000000edsveak-lead-ai-ml-engineer-new-york-new-york","status":"publish","type":"job_listing","link":"https:\/\/eightelevengroup.instaging.io\/jobs\/job\/a1wcv000000edsveak-lead-ai-ml-engineer-new-york-new-york\/","title":{"rendered":"Lead AI\/ML Engineer"},"content":{"rendered":"<p><strong>Senior AI\/ML Engineer<\/strong><\/p>\n<p><strong>Contract<\/strong><\/p>\n<p><strong>Remote<\/strong><\/p>\n<p><\/p>\n<p>The Senior AI\/ML Engineer will architect and build agentic AI frameworks for web and mobile platforms, with a focus on MCP development and orchestration logging. This role requires excellent presentation and communication skills, as the engineer will represent AI-led automation delivery and champion an AI-first approach.<\/p>\n<p><\/p>\n<p><strong>Key Responsibilities:<\/strong><\/p>\n<ul>\n<li><strong>Data Preparation &#038; Governance: <\/strong>Gather, clean, and prepare structured and unstructured data, apply data governance standards, and manage large datasets using SQL, NoSQL, and distributed technologies.<\/li>\n<li><strong>Model Development: <\/strong>Design, train, and validate machine learning models using AutoML, deep learning, and reinforcement learning, optimizing for scalability and performance through feature engineering and rigorous evaluation.<\/li>\n<li><strong>AI Architecture &#038; Deployment: <\/strong>Support AI\/ML architectural design and deploy models into production using APIs, microservices, and containerized environments.<\/li>\n<li><strong>MLOps &#038; Cloud Platforms: <\/strong>Implement MLOps practices and leverage cloud services such as AWS and Azure for scalable, reliable, and secure AI deployments.<\/li>\n<li><strong>Agentic Frameworks &#038; Orchestration:<\/strong> Build and evolve agentic AI frameworks, focusing on MCP development, orchestration workflows, and comprehensive logging and observability.<\/li>\n<li><strong>Cross-Functional Collaboration: <\/strong>Collaborate closely with data engineers, analysts, and business stakeholders to deliver AI-driven automation and decisioning capabilities.<\/li>\n<li><strong>Documentation &#038; Knowledge Sharing: <\/strong>Maintain thorough documentation of workflows, architectures, and design decisions to support knowledge sharing and long-term maintainability.<\/li>\n<\/ul>\n<p><strong>Qualifications &#038; Skills:<\/strong><\/p>\n<ul>\n<li>Proven experience building and deploying AI\/ML systems in production environments.<\/li>\n<li>Strong experience with Python and modern ML frameworks, including deep learning and AutoML toolchains.<\/li>\n<li>Experience working with SQL, NoSQL, and distributed data platforms.<\/li>\n<li>Strong understanding of MLOps, model lifecycle management, and cloud platforms such as AWS and Azure.<\/li>\n<li>Experience designing and deploying microservices and containerized applications for ML workloads.<\/li>\n<li>Excellent communication and presentation skills with the ability to represent AI-led solutions to technical and business stakeholders.<\/li>\n<\/ul>\n","protected":false},"author":1,"featured_media":82,"template":"","meta":{"inline_featured_image":false,"_promoted":"","_job_location":"New York, New 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