Sajix Inc Logo

Sajix Inc

Machine Learning Engineer

Reposted 3 Months Ago
In-Office or Remote
Hiring Remotely in Pleasanton, CA, USA
Internship
In-Office or Remote
Hiring Remotely in Pleasanton, CA, USA
Internship
Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models for healthcare solutions, collaborating with data scientists, and gaining hands-on experience.
The summary above was generated by AI
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

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.

HQ

Sajix Inc Pleasanton, California, USA Office

39 California Ave, Pleasanton, United States, 94566

Similar Jobs

3 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
179K-319K Annually
Senior level
179K-319K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead the design and implementation of AI initiatives for edge devices. Develop and optimize machine learning solutions using large-scale sensor, video, text, diagnostic, transaction, and location data. Partner with engineering and business teams to prototype AI experiences, ship production systems, adopt research advances, and improve edge model performance. Mentor ML engineers and communicate technical concepts to varied audiences.
Top Skills: C++Computer VisionEdge AiEdge ComputingIotMachine LearningMl Model OptimizationPythonRust
6 Days Ago
In-Office or Remote
94104, San Francisco, CA, USA
Entry level
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develops end-to-end AI features for Atlassian’s developer AI products, including LLM integration, prompt engineering, machine learning algorithms, data preprocessing, feature engineering, experimentation, evaluation, pipeline optimization, and monitoring. Collaborates with data scientists, software engineers, and partner teams to solve complex problems and apply advances in AI and machine learning.
Top Skills: Artificial IntelligenceFeature EngineeringLarge Language Models (Llms)Machine LearningMachine Learning PipelinesPrompt Engineering
2 Days Ago
In-Office or Remote
94104, San Francisco, CA, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and scale machine learning algorithms, models, infrastructure, and data pipelines supporting AI features across Atlassian products. Responsibilities include designing model and system architectures, conducting experimentation and evaluations, collaborating with product, engineering, and analytics teams, building production-quality solutions using large datasets, and mentoring junior ML engineers.
Top Skills: SparkAWSDatabricksDeep LearningJavaLarge Language Models (Llms)Machine LearningPythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account