{"id":5893,"date":"2026-04-18T05:17:35","date_gmt":"2026-04-18T05:17:35","guid":{"rendered":"https:\/\/cephasconsult.biz\/?post_type=job_listing&#038;p=5893"},"modified":"2026-05-19T00:15:56","modified_gmt":"2026-05-19T00:15:56","slug":"machine-learning-engineer-ii-88792","status":"expired","type":"job_listing","link":"https:\/\/cephasconsult.biz\/?post_type=job_listing&p=5893","title":{"rendered":"Machine Learning Engineer &#8211; II 88792"},"content":{"rendered":"<p><span class=\"flex-shrink-0\">Positions:<span class=\"font-semibold\">1 <\/span><\/span><span class=\"flex-shrink-0 font-semibold\">Full Time<\/span><\/p>\n<div class=\"col-span-1\">Experience<\/div>\n<div class=\"font-inter-semibold-paragraph2  text-cbrex-light-surface-pb col-span-2\">5 &#8211; 10 Years<\/div>\n<div><\/div>\n<div>\n<p><strong><span data-raw-html=\"span\">Position: Machine Learning Engineer &#8211; II<\/span><\/strong><\/p>\n<p><strong><span data-raw-html=\"span\">Location<\/span><span data-raw-html=\"span\">: Remote<\/span><\/strong><\/p>\n<p><strong><span data-raw-html=\"span\">About the Role<\/span><\/strong><\/p>\n<p><strong><span data-raw-html=\"span\">We are seeking a talented and motivated Machine Learning Engineer to join our innovative engineering team. This mid-level role focuses on building and maintaining a multi-agentic system that powers our ML-driven provider\u2019s assistant. If you are passionate about solving complex ML problems, thrive in dynamic environments, and excel at building scalable, reliable, and safe systems, we\u2019d love to hear from you!<\/span><\/strong><\/p>\n<p><strong><span data-raw-html=\"span\">Key Responsibilities<\/span><\/strong><\/p>\n<ul>\n<li><strong><span data-raw-html=\"span\">Design, develop, and maintain a multi-agentic system that powers Mila\u2019s ML-driven care pathways.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Build and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure low-latency, high-accuracy, and contextually relevant outputs.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Develop and implement scalable, safe, and predictable ML solutions that align with our goal-seeking pathways.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Collaborate with data scientists, engineers, and product teams to integrate proprietary MLalgorithms and LLMs into production systems.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Solve complex challenges related to real-time MLapplications.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Monitor and improve the performance of MLmodels in production, ensuring reliability and robustness.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Explore and evaluate new tools, frameworks, and ecosystems to enhance our ML capabilities, including potential expansion beyond Azure.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Implement best practices for ML model lifecycle management, including versioning, retraining, and deployment.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Ensure compliance with data privacy and security standards in all ML workflows.<\/span><\/strong><\/li>\n<\/ul>\n<p><strong><span data-raw-html=\"span\">Qualifications:<\/span><\/strong><\/p>\n<ul>\n<li><strong><span data-raw-html=\"span\">5+ years of experience in machine learning engineering or a related field, with a focus on building production-grade ML systems.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Strong understanding of multi-agent systems and experience designing scalable, distributed architectures.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Hands-on experience with integrating LLMs into production workflows.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Proficiency in Python and frameworks such as LangGraph, Google ADK, etc.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Experience with cloud platforms, preferably Azure, and familiarity with cloud-native ML tools and services.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Proven ability to solve complex problems related to latency, accuracy, and safety in ML systems.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Strong knowledge of data structures, algorithms, and software engineering best practices.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Familiarity with MLOps practices, including model versioning, monitoring, and retraining.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">A passion for healthcare innovation and a commitment to building solutions that improve patient outcomes.<\/span><\/strong><\/li>\n<li><strong><span data-raw-html=\"span\">Proven ability to navigate and thrive in ambiguous problem spaces, particularly in designing and optimizing ML systems where requirements and data may evolve.<\/span><\/strong><\/li>\n<\/ul>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"template":"","meta":{"_job_location":"South 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