Ensora Health · 2 days ago
Sr. AI/ML Engineer
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. They are seeking a Senior Machine Learning Engineer to build AI-driven capabilities across their platform, focusing on designing and deploying advanced ML/DL models and leading architectural decisions. The role involves mentoring engineering talent and ensuring the performance of AI systems that deliver measurable business impact.
Electronic Health Record (EHR)Health CareSoftware
Responsibilities
Architect and build scalable, production-grade AI systems using Python and modern machine learning frameworks
Develop and optimize LLM-powered intelligent agent workflows using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel
Design, fine-tune, and deploy deep learning models (PyTorch, TensorFlow, Keras) across NLP, vision, and multimodal applications
Lead data engineering efforts by designing pipelines, performing advanced analytics, and creating visual insights
Manage database design and optimization using SQL and PostgreSQL for large-scale AI workloads
Integrate AI models into APIs, microservices, and cloud environments to ensure seamless production deployment
Mentor junior engineers, guide code quality standards, and advocate best practices across ML engineering and MLOps
Stay ahead of emerging AI research, including breakthroughs in generative AI, agentic architectures, model optimization, and open-source ecosystems
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field
5+ years of experience deploying ML models into production environments
Hands-on experience with LLMs (GPT series, Llama, Claude, Gemini) and orchestration frameworks
Deep understanding of agent architectures and reasoning strategies (ReAct, planning-based agents)
Strong expertise with PyTorch, TensorFlow, and Keras
Advanced SQL and PostgreSQL skills for data management and performance tuning
Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, and MLOps tooling for CI/CD, deployment, and monitoring
Proven leadership through mentoring, project ownership, and technical decision-making
Preferred
Experience with model distillation, quantization, GPU optimization, microservices, Kubernetes, GitOps, vector databases (Pinecone, Weaviate, ChromaDB), or contributions to open-source AI/ML projects
Company
Ensora Health
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.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Lightyear Capital
2021-04-07Acquired
2018-07-24Private Equity
2018-01-01Series Unknown
Recent News
2025-10-28
2024-05-19
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