Data Science AI Engineer, Advisor

Gainwell Technologies

. Design, build, and train machine learning, deep learning, time series, Gen AI, predictive analytics, NLP, and image processing solutions for healthcare applications .

Posted 9/17/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI solutions, particularly in healthcare applications, with a strong focus on machine learning, deep learning, and regulatory compliance. Proficient in utilizing cloud platforms and big data technologies to optimize AI models and workflows.

Highest-signal resume keywords

AI/ML EngineeringGen AI Solutions DevelopmentPython ProgrammingCloud Platforms (AWS, Azure, GCP)Healthcare Regulatory Compliance (HIPAA, CMS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPredictive AnalyticsNatural Language Processing (NLP)Image ProcessingFeature EngineeringModel TrainingAPI DevelopmentMLOpsPrompt Engineering

Soft Skills

Problem-SolvingInterpersonal SkillsTeam LeadershipStakeholder EngagementBusiness Analysis

Tools & Technologies

TensorFlowPyTorchSparkHadoopSQLNoSQL DatabasesStreamlitLang ChainLang GraphAgentic AI Frameworks

Industry Keywords

Healthcare ApplicationsRegulatory ComplianceData Privacy StandardsEthical AI PrinciplesRAG Architecture

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoogle Cloud PlatformHadoopJavaScriptNoSQLPythonPyTorchReactSparkSQLTensorflowVue.js

About the role

Key responsibilities & impact

Design, build, and train machine learning, deep learning, time series, Gen AI, predictive analytics, NLP, 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, while ensuring regulatory compliance
Develop APIs and integrations
Implement and optimize AI models within Gainwell’s technology stack
Evaluate models and continuously monitor ML/DL and LLM performance
Apply security measures and guardrails in Gen AI solutions
Continuously refine and optimize AI/Gen AI models for accuracy, efficiency, and speed
Research emerging AI/ML/Gen AI technologies and methodologies
Ensure AI implementations meet healthcare regulations, ethical AI principles, and data privacy standards
Identify opportunities to automate workflows and optimize business processes using AI
Collaborate with software engineers and cross-functional team leads to translate business requirements into deployable solutions
Support business analysis, requirements documentation, and healthcare reference data activities using governed datasets without direct access to PHI, PII, or secured client data

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
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
Streamlit is a must; React, Angular or Vue.js are good to have
Ability to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate them into feasible solutions

Benefits

Comp & perks

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