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Data Engineer - Python/Snowflake
Robert Half
Houston, TX
…on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data…
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Senior Machine Learning Engineer
Robert Half
Houston, TX
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the…
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Senior Data Engineer
Robert Half
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Description We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role…
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Engineer, Petroleum (Supply Appraisal)
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AI / Simulation Principal Engineer - Computational Fluid Dynamics
UL, LLC
Austin, TX
We are seeking a Principal Engineer – CFD Simulation Engineering to join our team. The ideal candidate will be a highly experienced technical leader with deep expertise in physics-based…
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Head of Forward Deployed Engineering
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Austin, TX
Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing,…
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Lead Software Engineer
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Advanced Forward Engineering - Implementation Engineer - Senior
EY
Fort Worth, TX · Austin, TX · Dallas, TX · Houston, TX · San Antonio, TX
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Software Engineering Applications Mail & Calendar Infrastructure, Enterprise Technology Services
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Business Intel Engineer, OIS/CXI Analytics , Ops Tech Solution Network Dev
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Associate Software Engineer
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Staff Software Engineer for NextGen In-Vehicle Infotainment Systems - DevOps
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FAST Labs - Optical Systems Senior Principal Scientist
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Senior Engineer
PwC
Austin, TX · Fort Worth, TX · San Antonio, TX · Houston, TX · Dallas, TX
As a Senior Engineer you will help design, build, and test custom applications within our Advisory practice, bringing together software engineering, cloud-based solution delivery, and…
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Software Engineer Intern 2027
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Vice President, Cloud Platform Engineer
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Lead Engineer
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Modernizing Medicine, Inc.

Staff Cloud Engineer, ML Ops

Boca Raton, FL, United States

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Job details

Experience: 8+ years of experience in DevOps, MLOps, Software Engineering, or Cloud Architecture with proven experience delivering and operating AI/ML systems at scale.
Posting language: English
Posted: Nov 6, 2026

Original job description

Join the Team Modernizing Medicine

At ModMed, 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:

As a Staff MLOps Engineer at Modernizing Medicine, you’ll help bridge the gap between data science, machine learning engineering, and production systems. You’ll lead efforts to establish architecture and tooling that make it fast, reliable, and secure for our developers to build, deploy, and operate AI-enabled applications at scale. You will drive core architectural patterns for model training, deployment, and lifecycle management, empowering self-service capabilities across product and platform teams. Your work will directly shape the enterprise platform driving our next generation of AI-driven clinical and operational products.

What You’ll Do

Architect and help build and operate a scalable developer enablement platform for deploying AI/ML models into high-throughput production applications, accelerating the end-to-end lifecycle of AI-enabled applications.
Define reusable patterns for model training, feature store integration, batch/real-time inference, and pipeline orchestration using Databricks, Airflow, and cloud-native services.
Ensure ML infrastructure is built on standardized IaC to ensure repeatable, multi-environment deployments across AWS accounts.
Lead the evolution of serverless and containerized ML execution environments, migrating high-scale serverless pipelines (AWS Lambda) to Kubernetes (EKS) microservices where appropriate.
Drive CI/CD and GitOps standards for automated model delivery, champion deployment strategies, and infrastructure-as-code automation.
Design comprehensive observability and monitoring capabilities using DataDog to track model drift, latency, error rates, and system health in production.
Implement LLMOps and AIOps frameworks to manage, deploy, evaluate, and monitor Large Language Models (LLMs) and generative AI solutions, leveraging MLflow for tracking, experiment management, and model registry.
Partner closely with Data Science, Product Development, and Security teams to ensure models and AI applications are secure, compliant, and cost-efficient.
Apply security best practices to protect sensitive data and ensure compliance.
Provide technical leadership and mentorship across MLOps and engineering teams, codifying best practices in system architecture and operational excellence.

What We’re Looking For

8+ years of experience in DevOps, MLOps, Software Engineering, or Cloud Architecture with proven experience delivering and operating AI/ML systems at scale.
Deep expertise in Python and software engineering principles for production-grade microservices, SDKs, and data pipelines.
Proven architectural experience with patterns across the full ML lifecycle: training, batch/real-time inference, model registration, and application integration.
Strong proficiency with container orchestration (Kubernetes/EKS), serverless architectures (Lambda), and cloud infrastructure (AWS).
Hands-on experience with ML and LLM frameworks such as MLflow, SageMaker, PyTorch, or Spark; experience with Databricks is a plus.
Mastery of Infrastructure as Code (Terraform) and CI/CD/GitOps tooling.
Demonstrated capability in establishing enterprise observability standards using DataDog or similar platforms.
Strong leadership, communication, and cross-functional collaboration skills with a focus on developer enablement and mentoring.

This role is hybrid. On-call participation may be required to support production systems.

If you're excited about bringing machine learning to life through clean code, automation, and infrastructure excellence, we want to talk.

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.

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More about this job

Skills

ML
EHR
Machine learning
Databricks
Apache Airflow
Infrastructure as code
AWS
Kubernetes
Microservices
CI/CD
Datadog
Mlflow
Regulatory compliance
Leadership
DevOps
Python
Engineering principles
PyTorch
Apache Spark
IBM Terraform
Communication skills
Collaboration
Coaching

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