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Machine Learning Engineer

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting

What you’ll work on

Full posting

Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models that enhance our healthcare intelligence platform and improve clinical outcomes.

  • Support training and deployment of machine learning models

  • Implement algorithms in production with data scientists

  • Learn model optimization, testing, and monitoring

  • Solve classification and prediction problems on real healthcare datasets

From the employer’s posting
Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models that enhance our healthcare intelligence platform and improve clinical outcomes.
Support training and deployment of machine learning models.
Collaborate with data scientists to implement algorithms in production.
Learn about model optimization, testing, and monitoring.
Work on real-world healthcare datasets to solve classification and prediction problems.

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's in Computer Science, Data Science, or related field
  • Solid programming skills in Python
  • Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn

Preferred experience

  • Exposure to model deployment tools or cloud platforms
Qualification wording
Bachelor’s/Master’s in Computer Science, Data Science, or related field.
Solid programming skills in Python.
Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn.
Bonus: Exposure to model deployment tools or cloud platforms.
Education & alternatives
Requirements: - Bachelor’s/Master’s in Computer Science, Data Science, or related field. - Solid programming skills in Python.

Posting record

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Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026124 days ago
Recorded sightings
38
Last seen by us
Nov 3, 2026
Employer says posted
May 9, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 124

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Bachelor’s/Master’s in Computer Science, Data Science, or related field. - Solid programming skills in Python. - Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid programming skills in Python. - Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn. - Bonus: Exposure to model deployment tools or cloud platforms.

Your next step

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

About the Role:
Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models that enhance our healthcare intelligence platform and improve clinical outcomes.

Key Responsibilities:

  • Support training and deployment of machine learning models.

  • Collaborate with data scientists to implement algorithms in production.

  • Learn about model optimization, testing, and monitoring.

  • Work on real-world healthcare datasets to solve classification and prediction problems.

Qualifications

Requirements:

  • Bachelor’s/Master’s in Computer Science, Data Science, or related field.

  • Solid programming skills in Python.

  • Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn.

  • Bonus: Exposure to model deployment tools or cloud platforms.

Additional Information

These trainee roles are offered in collaboration with Sajix’s __init__py program—a structured, hands-on learning initiative aimed at nurturing the next generation of full-stack developers and technology professionals. The program offers tiered training tracks.

Participants gain real-world experience through live projects, personalized mentorship, and exposure to industry-relevant tools and practices. This collaboration ensures that trainees are well-equipped with practical skills and knowledge to excel in their roles.

For more information about the __init__py program, visit initpy.sajix.com.

Company Description

Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through advanced digital solutions. Since its founding in 2006, Sajix has specialized in developing integrated healthcare information systems that streamline clinical, financial, and administrative operations for healthcare organizations around the world.

With operations in the United States, United Kingdom, Singapore, and India, Sajix serves clients across North America, Europe, Asia, and Africa. Its flagship platform, iHelix, is a modular, scalable solution designed for use in diverse healthcare settings—from single-doctor practices to large hospital networks.

Sajix offers a comprehensive suite of digital healthcare solutions, including:

  • iHelix 

  • Lifeeazy

  • AI-based Revenue Cycle Management – optimizing financial workflows through automation

All products are built with global standards in mind, supporting multiple languages and currencies, and comply with international healthcare regulations such as CCR and CCD.

Through strategic partnerships and a commitment to innovation, Sajix continues to lead the industry in delivering intelligent, interoperable, and patient-centric healthcare solutions.

Website: www.sajix.com

Source details

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Location & working pattern

Pleasanton, CA, United States

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