Job description

This is where you save and sustain lives

At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You'll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients.

Baxter's products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.

Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work.

Join us at the intersection of saving and sustaining lives—where your purpose accelerates our mission.

Job Description: Machine Learning Engineer

We are a leading company in the healthcare sector, seeking an experienced and dedicated Machine Learning Engineer. Our focus is on leveraging state-of-the-art technologies and machine learning models to revolutionize the medical device landscape. The successful candidate will possess expertise in areas such as Large Language Models, Time Series Forecasting, Natural Language Processing (NLP), Recommender Systems, Anomaly Detection, Data Mining, SQL, UI/UX Development, and Cloud Computing.

Key Responsibilities:
  • Large Language Models: Develop applications using large language models like GPT3.5/4 and LLAMA2 to extract insights and automate processes.
  • Time Series Forecasting: Utilize machine learning techniques to create models that can predict future trends based on historical healthcare data.
  • Natural Language Processing (NLP): Implement NLP techniques to analyze and interpret complex medical text data.
  • Recommender Systems: Design and develop personalized recommendation algorithms to optimize device usage and enhance patient care.
  • Anomaly Detection: Create models capable of identifying unusual patterns or outliers in healthcare data to enhance early detection of potential health risks.
  • Data Mining and SQL: Extract and analyze data from various sources using advanced data mining techniques and SQL.
  • UI/UX Development: Work in collaboration with the UI/UX team to integrate machine learning models into the user interface of our medical devices, ensuring a seamless user experience.
  • Cloud Computing: Use cloud platforms such as AWS and Azure for model training, deployment, and scaling.
  • Regulatory Compliance: Ensure compliance with healthcare sector regulations in all machine learning solutions, maintaining rigorous documentation and validation as required.

  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field. A Ph.D. would be advantageous.
  • Demonstrated experience in the aforementioned areas, particularly in Large Language Models, Time Series Forecasting, NLP, Recommender Systems, Anomaly Detection, Data Mining, SQL, UI/UX Development, and Cloud Computing.
  • Proficiency in Python and machine learning libraries such as TensorFlow, Pytorch, or Keras.
  • Previous experience in the healthcare sector and a solid understanding of its regulatory landscape.
  • Strong skills in data analysis and visualization.
  • Excellent communication and teamwork skills.
  • Knowledge of privacy and security standards in the healthcare sector would be a significant plus.

Working at Baxter:

We are at the forefront of medical technology innovation, deeply committed to enhancing patient care through our devices. We provide a stimulating and supportive work environment that encourages professional growth. We offer competitive compensation, excellent benefits, and opportunities to make significant contributions in a highly regulated and impactful industry.

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please send an e-mail to and let us know the nature of your request along with your contact information.

Recruitment Fraud NoticeBaxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

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