Data Science AI Engineer, Advisor

Gainwell Technologies

. Design, build, and train machine learning, deep learning, time series, multimodal LLM, predictive analytics, natural language processing, and image processing solutions for healthcare applications .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSenior💰 $126,100 - $180,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and machine learning solutions, with a strong focus on healthcare applications, compliance with regulations, and optimization of model performance. Proficient in integrating AI technologies within existing systems and translating business requirements into effective AI-driven solutions.

Highest-signal resume keywords

AI/ML EngineeringGen AI Solutions DevelopmentPython ProgrammingHealthcare Compliance KnowledgeModel Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingPredictive AnalyticsImage ProcessingFeature EngineeringAPI DevelopmentPrompt EngineeringMLOpsData Preprocessing

Soft Skills

Problem-SolvingInterpersonal SkillsTeam Leadership

Tools & Technologies

TensorFlowPyTorchLangChainLangGraphAWSAzureGCPSparkHadoopStreamlit

Industry Keywords

Healthcare ApplicationsHIPAA ComplianceCMS ComplianceGen AILLM Fine-Tuning

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoogle Cloud PlatformHadoopJavaScriptNoSQLPythonPyTorchReactSparkSQLTensorflowVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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

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