Apply on Employer Site

Ensora Health · 1 day ago

Senior Machine Learning Engineer – Generative AI & Intelligent Agents

Georgia, United States

Full-time

Onsite

Senior Level

5+ years exp

Ensora Health is the leading provider of software and services for mental and behavioral health therapists. The Senior Machine Learning Engineer will lead the design, development, and deployment of advanced AI solutions, mentor junior engineers, and ensure the scalability and performance of AI-driven products.

Electronic Health Record (EHR)Health CareSoftware

Responsibilities

Lead AI System Design: Architect and implement scalable, production-grade AI systems using Python and modern ML frameworks

LLM & Agentic Systems: Design and optimize LLM-powered workflows and autonomous AI agents using orchestration frameworks (LangChain, LlamaIndex, CrewAI, Semantic Kernel)

Advanced Model Development: Build, fine-tune, and deploy deep learning models (PyTorch, TensorFlow, Keras) for NLP, vision, and multimodal tasks

Data Engineering & Analytics: Oversee data pipelines, perform advanced analytics, and create actionable insights through visualization

Database Expertise: Design and optimize data storage and retrieval using SQL and PostgreSQL for large-scale AI workflows

Integration & Deployment: Drive seamless integration of AI models with APIs, microservices, and cloud infrastructure

Mentorship & Leadership: Guide junior engineers, review code, and enforce best practices in ML engineering and MLOps

Innovation & Research: Stay ahead of emerging trends in Generative AI, agent architectures, and open-source AI ecosystems

Qualification

Machine Learning EngineeringLarge Language ModelsDeep Learning FrameworksData EngineeringCloud & MLOpsSQLPostgreSQLAI Agent ArchitecturesInnovationLeadershipMentorship

Required

Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field

Experience: 5+ years of experience in ML engineering, with proven track record of deploying models in production

LLM Expertise: Hands-on experience with Large Language Models (GPT series, Llama, Claude, Gemini) and orchestration frameworks

Agent Architectures: Deep understanding of AI agent frameworks and reasoning strategies (e.g., ReAct, planning-based agents)

ML/DL Proficiency: Advanced experience with PyTorch, TensorFlow, and Keras for model development and optimization

Data & Database Skills: Strong SQL and PostgreSQL expertise for data management and performance tuning

Cloud & MLOps: Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, and MLOps tools for CI/CD and monitoring

Leadership: Demonstrated ability to lead projects and mentor teams

Preferred

Expertise in model quantization, distillation, and optimization for large-scale deployment

Experience with microservices, Kubernetes, and GitOps practices

Contributions to open-source AI/ML projects or published research

Familiarity with vector databases (Pinecone, Weaviate, ChromaDB)

Company

Ensora Health

Glassdoor2.9

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.

Founded in 2013

Birmingham, Alabama, USA

201-500 employees