Data Sciences Advisor

Gainwell Technologies

. Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications .

Posted 9/17/2026full-timeRemote • United StatesMid-LevelSenior💰 $92,700 - $132,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing, building, and deploying machine learning and deep learning models for healthcare applications, with a strong focus on regulatory compliance and ethical AI principles. Proficient in leveraging cloud platforms and big data technologies to optimize AI solutions and automate workflows.

Highest-signal resume keywords

Machine Learning EngineeringDeep Learning Model DevelopmentAI Solutions DeploymentCloud Platforms (AWS, Azure, GCP)MLOps Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenAINatural Language Processing (NLP)Python ProgrammingTensorFlowPyTorchBig Data TechnologiesSQLNoSQL Databases

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

MLOpsSparkHadoop

Certifications & Qualifications

Master’s or Ph.D in Computer ScienceAIData Science

Industry Keywords

Healthcare ApplicationsHIPAA ComplianceRegulatory ComplianceEthical AI Principles

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopNoSQLPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications
Develop, test, and deploy AI solutions in cloud and on-premise environments
Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring HIPAA and regulatory compliance
Implement and optimize AI models within Gainwell’s existing technology stack
Collaborate with software engineers to ensure seamless system integration
Monitor, refine, and optimize AI models for accuracy, efficiency, and speed using MLOps best practices
Stay updated with AI/ML advancements and explore new technologies and methodologies
Ensure AI implementations adhere to healthcare 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 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), including prompt engineering, model optimization and inference efficiency
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments
Proficiency in 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
Video cameras must be used during all interviews and during the initial week of orientation

Benefits

Comp & perks

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
Occasional travel opportunities (0-10%)