ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $110k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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👻 Ghost score 1%

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Press Ganey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Press Ganey is a leading provider of patient experience measurement, performance analytics, and strategic advisory solutions for healthcare organizations. The company focuses on improving the overall healthcare experience through advanced analytics and human-centered insights, helping clients enhance patient and workforce safety, employee experience, and organizational growth. With a data-driven approach, they provide interactive dashboards, industry benchmarks, and actionable insights to drive measurable impact across the healthcare sector. Press Ganey collaborates with healthcare providers, health plans, and life sciences organizations to transform care delivery and improve human experiences in healthcare.

📋 Description

• Build, test, and deploy production-ready AI agents and agentic workflows integrated with enterprise applications and business processes • Implement evaluation, monitoring, guardrail, and safety frameworks for LLM-powered applications • Develop and maintain AI-enabled features within the Java/Spring platform and distributed microservices ecosystem • Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software • Stay current with emerging AI technologies and recommend pragmatic adoption strategies • Incorporate feedback from specialists, tech-ops, and product managers • Participate in design reviews, technical discussions, and requirement planning • Attend daily stand-up meetings, collaborate with peers, prioritize features, and deliver customer value • Prototype and test potential solutions to large problems

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience • 2–5 years of hands-on experience as a Machine Learning Engineer • Proven track record designing, building, and optimizing ML models using PyTorch or TensorFlow for production environments • Solid Computer Science fundamentals in data structures, algorithm design, complexity analysis, and performance optimization • Strong proficiency in object-oriented design and development using Python, Java, or C# • Hands-on experience developing, testing, and supporting applied machine learning services within enterprise software ecosystems • Practical experience building and maintaining software components for AI-enabled applications or distributed systems • Hands-on experience integrating AI capabilities into existing enterprise applications • Experience implementing and deploying production-grade LLM applications using LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies • Solid working knowledge of Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and core AI agent principles • Experience in observability, CI/CD, automated testing, and production operations for AI applications • Excellent communication and collaboration skills • Preferred: Experience with Databricks, vector search technologies, embedding models, conversational AI, evaluation strategies for AI agents, AI developer tooling, large-scale Java microservices using Spring Boot, AWS/Azure/GCP, Kubernetes, containerized deployments, model serving, inference optimization, caching strategies, and cost optimization

🏖️ Benefits

• Competitive benefits package • Discretionary bonus or commission tied to achieved results • Reasonable accommodations for qualified individuals with disabilities or disabled veterans in the hiring process