Data Science AI Engineer – Professional 1

🕒 July 1

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Healthcare Insurance • Human Services • Healthcare

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

• Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. • End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. • Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. • System Integration – Skilled in API development and integrations. • Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. • Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. • Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. • AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. • Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. • Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

🎯 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 • Experienced in multiple LLM fine tuning techniques. • Experienced in building GEN AI solutions using RAG architecture. • Skilled in both Lang Chain and Lang Graph. • Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. • Experienced in multiple Vector Databases as well as Graph Database • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. • Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. • Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. • Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js • Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.

🏖️ Benefits

• Fully Remote Opportunity – Work from anywhere in the US • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment