Data Science AI Engineer – Advisor

Gainwell Technologies

AI Engineer at Gainwell Technologies designing and deploying advanced AI solutions. Driving innovation in healthcare technology with a focus on improving outcomes and operational efficiency.

Posted 5/27/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $117,800 - $168,300 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopNoSQLPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications
Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact
Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards
Implement and optimize AI solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration
Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices
Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness
Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards
Identify opportunities to automate workflows and optimize business processes using AI-driven solutions

Requirements

What you’ll need

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 production operations involving machine learning, deep learning and GenAI
Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), 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

Benefits

Comp & perks

generous, flexible vacation policy
educational assistance
comprehensive health benefits
401(k) employer match
leadership and technical development academies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningGenAINLPpredictive analyticsPythonTensorFlowPyTorchMLOpsbig data

Soft Skills

problem-solvingcollaborationcommunicationdata preprocessingfeature engineeringmodel trainingworkflow automationprocess optimizationaccuracy optimizationefficiency optimization

Certifications

Master’s in Computer SciencePh.D in Computer ScienceMaster’s in AIMaster’s in Data Science