Senior Machine Learning Engineer

Alldus; United States; Remote; USD 180,000 - 220,000; Full time

Job summary

Join a dynamic HealthTech startup as a Senior Machine Learning Engineer, where you'll leverage AI to transform healthcare. In this remote role, you'll develop and deploy ML models, work closely with teams to integrate solutions, and contribute to innovative design and architecture. This opportunity offers a chance to make a significant impact in the healthcare sector, helping hospitals optimize their operations and improve patient outcomes. If you're passionate about AI and ready to take on a challenging yet rewarding role, this is the perfect fit for you.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 6+ years of experience in ML/MLOps roles with a strong background in deploying models.
• Proficient in Python and SQL, with AWS experience.

Responsibilities

• Develop and deploy ML pipelines and models in production environments.
• Collaborate with internal teams to integrate ML models into the platform.

Skills

Machine Learning

MLOps

Python

SQL

AWS

HealthTech experience

Tools

Docker

Kubernetes

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Alldus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $220,000.00/yr

Senior Consultant | AI & Senior Appointments at Alldus

Senior Machine Learning Engineer

We are currently recruiting for a Senior Machine Learning Engineer to join an exciting HealthTech startup on a remote basis in the US. Our client is using AI to drive change in the healthcare space, helping hospitals save millions and bill insurance providers better.

As the ideal candidate you will be responsible for:

• Developing and deploying ML pipelines and models in production environments
• Work very closely with internal teams to integrate ML models into the company platform
• Contributing to design and architecture

As the ideal candidate you will require:

• 6+ years’ experience in ML/MLOps roles
• Python / SQL experience
• AWS Experience
• Experience deploying ML models in production environments
• Experience in HealthTech
• Experience with Docker, Kubernetes

This is a very exciting opportunity to join a rapidly growing HealthTech startup. If you feel you are the right fit, please apply directly or drop an email to [e-mail].

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries: Hospitals and Health Care

Referrals increase your chances of interviewing at Alldus by 2x.

Benefits

• Medical insurance
• Vision insurance
• 401(k)