Data Science AI Engineer

Gainwell Technologies

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

Posted 9/15/2026full-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, while ensuring compliance with regulatory standards such as HIPAA. Proficient in leveraging advanced machine learning techniques, including LLM fine-tuning and Gen AI solutions, to optimize business processes and enhance solution effectiveness.

Highest-signal resume keywords

AI/ML EngineeringGen AI Solutions DevelopmentMLOps for Scalable AI DeploymentsPython ProgrammingHealthcare Regulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPredictive AnalyticsNatural Language ProcessingImage ProcessingFeature EngineeringModel TrainingAPIs DevelopmentLLM Fine TuningBig Data Technologies

Soft Skills

Problem-SolvingInterpersonal SkillsTeam Leadership

Tools & Technologies

TensorFlowPyTorchAWSAzureGCPSparkHadoopSQLNoSQL DatabasesStreamlit

Industry Keywords

Healthcare ApplicationsHIPAA ComplianceEthical AI PrinciplesData Privacy StandardsRAG 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, natural language processing, and image processing solutions for healthcare applications.
Develop, test, and deploy AI solutions in cloud and on-premises environments.
Perform data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
Develop APIs and integrations.
Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers.
Evaluate models and continuously monitor the performance of ML/DL and LLM systems.
Apply security measures and guardrails in Gen AI solutions.
Monitor, refine, and optimize AI/Gen AI models for accuracy, efficiency, and speed using MLOps and LLMOps practices.
Research the latest AI/ML/Gen AI advancements and explore technologies to enhance solution effectiveness.
Ensure AI implementations follow healthcare regulations, ethical AI principles, and data privacy standards.
Identify opportunities to automate workflows and optimize business processes with AI-driven solutions.

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 to an appropriate solution feasible to develop and deploy.

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.