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Junior Full Stack Machine Learning Engineer information
What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?
| Aspect | Junior Full Stack Machine Learning Engineer | Junior Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; some experience with ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops end-to-end ML applications, works on both backend and frontend | Analyzes data, builds models, and visualizes insights, mainly in data analysis tools |
| Employer & Industry Usage | Tech companies, startups, AI-focused firms | Research institutions, tech companies, finance, healthcare |
While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 9 days ago
Job description
Join the Team Modernizing Medicine
AtModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach:we hired doctors and taught them how to code.This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.
A Culture of Excellence
When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:
Consistently ranked as a Top Place to Work
2025 Globee Business Awards:Gold Globee for "Technology Team of the Year"
2025 Black Book Awards:Ranked #1 EHR in 11 Specialties
Florida Venture Forum:Venture-Backed Company of the Year
We are growing fast, thinking big, and we are just getting started.
Ready to modernize medicine with us?
Job Description Summary:
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging patient messages and managing clinical workflows.
Your mission is to design systems that don't just respond, but act-executing complex tasks with minimal human intervention while maintaining high standards of safety, empathy, and accuracy.
What you'll do
Autonomous Agent Development
Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or no-code/low-code agent frameworks to execute complex, non-linear clinical workflows.Patient Engagement Agents
Build and optimize conversational AI interfaces that handle message triage, sentiment analysis, and context-aware responses that are natural, empathetic, and patient-centric. Develop tool-calling architectures that enable AI agents to interact with external APIs, EHR systems, and databases to perform real-world actions.Model & Agent Evaluation
Design and implement evaluation frameworks to measure model and agent performance, including accuracy, reliability, safety, and task completion. Continuously improve systems using structured evaluation methodologies and feedback loops.Safety & Guardrails
Implement robust evaluation pipelines and guardrails (e.g., NeMo Guardrails) to ensure agent safety, clinical accuracy, and HIPAA compliance.AI Observability
Create and maintain dashboards to monitor agent reasoning traces, system performance, uptime, and task completion rates in production environments.
What you'll bring
3+ years of experience in Machine Learning with a strong focus on AI agents and conversational NLP systems.
Proven experience building autonomous systems using LangGraph, AutoGen, CrewAI, or similar no-code/low-code agent frameworks.
Hands-on experience with fine-tuning models and implementing rigorous evaluation frameworks to ensure agent performance, safety, and reliability. Familiarity with techniques for detecting hallucinations, bias, and failure modes in agent behavior.
Strong understanding of guardrails, alignment techniques, and safety mechanisms to ensure compliant, accurate, and trustworthy agent outputs in sensitive environments.
Hands-on experience with AWS and Databricks, including building CI/CD pipelines for deploying machine learning models and AI agents.
Strong proficiency in Python and experience with modern evaluation frameworks such as RAGAS or DeepEval.
ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:
United States
- Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
- 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
- Generous Paid Time Off and Paid Parental Leave programs,
- Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
- Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
- Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
- Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
- Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.
PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.
About Modernizing Medicine
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Boca Raton, FL, US
Year founded
2010