Machine Learning Engineer

Prosum; California (MO); On-site; USD 150,000 - 175,000; Full time

Job summary

A top-tier company is seeking a Machine Learning Engineer to join its innovative AI/ML team focused on transforming healthcare. This role involves engineering efforts to design and implement scalable ML solutions, ensuring integration with medical workflows while upholding industry standards.

Benefits

Medical insurance

Vision insurance

401(k)

Disability insurance

Paid paternity leave

Paid maternity leave

Tuition assistance

Pension plan

Child care support

Qualifications

• 3+ years of experience as a Machine Learning Engineer.
• Strong knowledge of predictive modeling, NLP, and LLMs.
• Hands-on experience with infrastructure automation using Terraform.

Responsibilities

• Build and maintain production-grade ML models with real-time inference.
• Design and implement scalable ML pipelines on various cloud platforms.
• Ensure ML systems meet HIPAA and data privacy regulations.

Skills

Predictive modeling

Natural Language Processing (NLP)

Large Language Models (LLMs)

Docker

Kubernetes

Python

SQL

Education

Bachelor’s degree in Computer Science

Master’s degree in a relevant field

Tools

Terraform

Job description

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

Base pay range

$150,000.00/yr - $175,000.00/yr

Direct message the job poster from Prosum

Technical Recruiter at Prosum | Tech Recruiting, Talent Acquisition, Recruitment Strategy

MACHINE LEARNING ENGINEER

Salary Range: $150k to $175k

We are seeking a highly skilled Machine Learning Engineer to join our growing AI/ML team focused on transforming healthcare delivery. The ideal candidate has a strong background in deploying and managing scalable machine learning solutions, with specific experience in healthcare data and systems. You’ll play a key role in leading engineering efforts, designing ML/GenAI architectures, and implementing robust deployment frameworks that align with business strategy.

Key Responsibilities

• Model Engineering & Deployment: Build and maintain production-grade ML models with an emphasis on real-time inference, scalability, and reliability.
• End-to-End ML Infrastructure: Design and implement scalable ML pipelines on AWS, GCP, or Azure.
• AI/GenAI Strategy: Lead development of advanced LLM and RAG frameworks; drive innovation in ML/GenAI integration strategies.
• Healthcare Integration: Work with EHR systems to embed ML models into clinical workflows, ensuring compliance with industry standards.
• Cross-Functional Collaboration: Partner with data scientists, data engineers, DevOps, and business stakeholders to continuously improve AI performance.
• CI/CD Optimization: Develop and maintain CI/CD pipelines for ML using tools such as GitHub Actions.
• Monitoring & Logging: Set up and manage tools to monitor system health and ML model performance.
• Security & Compliance: Ensure ML systems meet HIPAA and other data privacy regulations.
• Version Control & Documentation: Implement best practices for version control and document all model configurations and deployment processes.

Qualifications

Required:

• 3+ years of experience as a Machine Learning Engineer.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Informatics, or related field.
• Strong knowledge of predictive modeling, NLP, and LLMs, including the use of the RAG framework.
• Hands-on experience with Terraform for infrastructure automation.
• Proficiency in Python, SQL, and either R or a comparable language.
• Deep understanding of architecture, containerization (Docker, Kubernetes), and deployment strategies.
• Proven experience building scalable, secure, and compliant AI/ML systems.
• Expertise in CI/CD automation and DevOps collaboration.

Preferred:

• Master’s degree in a relevant field.
• Experience working with Electronic Health Records (EHR) systems.
• Certifications in machine learning or cloud computing.
• Experience with monitoring tools and logging frameworks.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services, Technology, Information and Media, and Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Paid paternity leave

Paid maternity leave

Tuition assistance

Pension plan

Child care support

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