Machine Learning Engineer (Healthcare AI) Job at Rise Technical Recruitment Limi
Rise Technical Recruitment Limited, New York, NY, United States
Machine Learning Engineer (Healthcare AI) $120,000 - $130,000 + 401k + PTO + Medical + Dental + Vision + Progression + High Impact
Remote - USA
Are you a ML / Data Science Engineer with healthcare experience? Are you looking to build products that have real‑world application and high impact, improving patients' lives in the medical sector?
This is an incredible opportunity to join a fast‑growing healthtech company, building AI solutions that genuinely save lives using MLOps, statistical modelling, and real‑world healthcare data!
Well established and rapidly scaling, this mission‑driven healthcare technology company has doubled in size over the past year, building cutting‑edge AI solutions with real‑world clinical applications that use machine learning to anticipate care needs, improve standards of care, and reduce hospital readmissions, with products already making a tangible impact on patient lives.
You’ll join a small team with real ownership over ML products. This is a hands‑on role across the full ML lifecycle – from problem definition and data exploration through to feature engineering, model training, validation, and deployment. You’ll also implement telemetry, A/B testing, and statistical methods to validate models, while ensuring healthcare data is secure and fully HIPAA compliant.
This role is perfect for a Machine Learning Engineer who wants to combine strong technical skills with meaningful, real‑world impact in a fast‑paced and collaborative environment.
The Person 3-5 years as a Machine Learning or Data Science Engineer
2+ years of experience in healthcare domain
Strong statistical / quantitative background
Strong Python and SQL skills
Strong communication and collaboration skills (Working with stakeholders)
Must be a US citizen or Green Card holder (No H1B, C2C or EAD)
Based in the USA
The Role Build and deploy machine learning models for healthcare applications
Work across the full ML lifecycle: data exploration, feature engineering, train, validate, deploy!
Collaborate with product, engineering, and data teams as the ML subject matter expert
Implement A/B testing, telemetry, and statistical validation methods
Troubleshoot and optimise ML models, integrations, and backend systems
Ensure systems are secure and compliant with HIPAA regulations
Work in a small, fast‑paced, highly collaborative team (2-person ML team)
Opportunity to work on modern AI technologies such as RAG and AI integrations
Mentoring offered for the lead ML engineer!
We are an equal opportunities company and welcome applications from all suitable candidates.
#J-18808-Ljbffr
Remote - USA
Are you a ML / Data Science Engineer with healthcare experience? Are you looking to build products that have real‑world application and high impact, improving patients' lives in the medical sector?
This is an incredible opportunity to join a fast‑growing healthtech company, building AI solutions that genuinely save lives using MLOps, statistical modelling, and real‑world healthcare data!
Well established and rapidly scaling, this mission‑driven healthcare technology company has doubled in size over the past year, building cutting‑edge AI solutions with real‑world clinical applications that use machine learning to anticipate care needs, improve standards of care, and reduce hospital readmissions, with products already making a tangible impact on patient lives.
You’ll join a small team with real ownership over ML products. This is a hands‑on role across the full ML lifecycle – from problem definition and data exploration through to feature engineering, model training, validation, and deployment. You’ll also implement telemetry, A/B testing, and statistical methods to validate models, while ensuring healthcare data is secure and fully HIPAA compliant.
This role is perfect for a Machine Learning Engineer who wants to combine strong technical skills with meaningful, real‑world impact in a fast‑paced and collaborative environment.
The Person 3-5 years as a Machine Learning or Data Science Engineer
2+ years of experience in healthcare domain
Strong statistical / quantitative background
Strong Python and SQL skills
Strong communication and collaboration skills (Working with stakeholders)
Must be a US citizen or Green Card holder (No H1B, C2C or EAD)
Based in the USA
The Role Build and deploy machine learning models for healthcare applications
Work across the full ML lifecycle: data exploration, feature engineering, train, validate, deploy!
Collaborate with product, engineering, and data teams as the ML subject matter expert
Implement A/B testing, telemetry, and statistical validation methods
Troubleshoot and optimise ML models, integrations, and backend systems
Ensure systems are secure and compliant with HIPAA regulations
Work in a small, fast‑paced, highly collaborative team (2-person ML team)
Opportunity to work on modern AI technologies such as RAG and AI integrations
Mentoring offered for the lead ML engineer!
We are an equal opportunities company and welcome applications from all suitable candidates.
#J-18808-Ljbffr