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Data Science AI Engineer, Advisor

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $126.1k - $180.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on Gainwell Technologies's careers page, not through a job board

First seen by Remote Rocketship 12 hours ago

Still open on Gainwell Technologies's site. Checked 36 minutes ago.

Logo of Gainwell Technologies

Gainwell Technologies

10,000+ employees

💼 Consulting

📦 Logistics

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Consulting • Logistics • Healthcare Insurance

Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

📋 Description

• Design, build, and train machine learning, deep learning, time series, multimodal LLM, predictive analytics, natural language processing, and image processing solutions for healthcare applications • Develop, test, and deploy AI solutions in cloud and on-premises environments • Process large healthcare datasets, including data preprocessing, feature engineering, and model training • Develop APIs and integrations • Integrate and optimize AI models within Gainwell’s existing technology stack • Collaborate with software engineers to ensure seamless system integration • Evaluate models and continuously monitor ML/DL and LLM performance • Apply security measures and implement guardrails in Gen AI solutions • Monitor, refine, and optimize AI/Gen AI models for accuracy, efficiency, and speed • Research and apply the latest AI, ML, and Gen AI technologies and methodologies • Ensure compliance with healthcare regulations, ethical AI principles, and data privacy standards • Identify opportunities to automate workflows and optimize business processes using AI-driven solutions • Translate business requirements into appropriate AI solutions and interface with team leads across functions and departments

🎯 Requirements

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field • 6 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions • Experience with multiple LLM fine-tuning techniques • Experience building Gen AI solutions using RAG architecture • Skilled in LangChain and LangGraph • Experience with Agentic AI frameworks and workflows using LangChain, LangGraph, CrewAI, or OpenAI Swarm • Experience with multiple vector databases and graph databases • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks • Experience developing, deploying, and fine-tuning LLMs such as GPT, Gemini, Claude, or similar • Experience with prompt engineering, model optimization, and inference efficiency • Experience with AWS, Azure, or GCP and MLOps for scalable AI deployments • Proficiency with Spark, Hadoop, SQL, and NoSQL databases • Knowledge of healthcare AI applications and regulatory compliance, including HIPAA and CMS, is a plus • Streamlit is required; React, Angular, or Vue.js is desirable • Ability to work as a team lead, interface with other functions/departments, understand business requirements, and translate them into feasible solutions • Strong problem-solving, interpersonal, and architecting skills

🏖️ Benefits

• Work flexibility • Learning and career development • Technical credentials and certifications • Generous, flexible vacation policy • Educational assistance • Leadership and technical development academies • 401(k) employer match • Comprehensive health benefits

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