Advisor Data Analyst

Gainwell Technologies LLC
4d

About The Position

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.  SummaryAs a(n) Advisor Data Analyst  at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission

Requirements

  • Master’s or Ph.D in Computer Science, AI, Data Science, or a related field.
  • 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
  • Hands-on expertise in machine learning, deep learning, GenAI, NLP, and computer vision.
  • 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.

Nice To Haves

  • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

Responsibilities

  • AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
  • End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
  • Data Engineering & 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 – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration.
  • Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
  • AI Research & Innovation – Stay updated with the latest AI/ML 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.

Benefits

  • You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development.
  • You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance.
  • We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
  • All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance.
  • We also have a variety of leadership and technical development academies to help build your skills and capabilities.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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