[Remote] Machine Learning Architect – AI Strategy & Platform Engineering

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. The company is seeking a visionary Machine Learning Architect to lead the design and governance of their AI/ML ecosystem, collaborating with engineering, data science, and product teams to ensure scalable and high-performing AI solutions. Responsibilities • Define and enforce ML architecture standards, frameworks, and design patterns for enterprise-scale AI solutions • Develop long-term AI/ML strategy aligned with business objectives and emerging technologies • Oversee the development of ML platforms, pipelines, and infrastructure for model training, deployment, and monitoring • Establish guidelines for data privacy, security, and regulatory compliance (HIPAA, GDPR) in healthcare AI systems • Provide technical leadership across diverse AI initiatives, including LLM-powered workflows, predictive analytics, and multimodal applications • Ensure robust architecture for handling large datasets, distributed training, and real-time inference • Coach senior engineers and data scientists, fostering a culture of best practices and continuous learning • Stay ahead of trends in Generative AI, agent architectures, and MLOps, and integrate them into organizational standards Skills • Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field (Ph.D. preferred) • 8+ years in ML engineering or data science, with at least 3 years in an architectural or leadership role • Deep knowledge of ML algorithms, deep learning frameworks (PyTorch, TensorFlow), and model optimization techniques • Experience designing architectures for LLM-based applications and AI agents • Strong understanding of distributed systems, big data platforms (Spark, Hadoop), and cloud services (AWS, Azure, GCP) • Proficiency in SQL and PostgreSQL, plus familiarity with vector databases (Pinecone, Weaviate) • Expertise in model lifecycle management, Kubernetes, and GitOps practices • Proven ability to influence technical direction and mentor cross-functional teams • Experience with microservices architecture for AI solutions • Contributions to open-source AI/ML projects or published research • Familiarity with model governance frameworks and responsible AI principles • Hands-on experience with quantization, distillation, and optimization of large-scale models Company Overview • Ensora Health is the leading provider of software and services for mental, behavioral, and rehabilitative health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. It was founded in 2013, and is headquartered in Birmingham, Alabama, USA, with a workforce of 201-500 employees. Its website is Apply tot his job
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