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.

Summary

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 Generative AI , Time Series Forecasting, Natural Language Processing (NLP), Recommender Systems, Anomaly Detection, Data Mining, SQL, and Cloud Computing.

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.

Responsibilities

• Large Language Models: Develop applications using large language models like GPT3.5/4 and LLAMA2 to extract insights and create multi-step agents to 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. 

• Automate Experiments for End2End solutions: Designing Data Pipelines, Modeling Pipelines, Inference pipelines.  Orchestrating the entire lifecycle of machine learning projects.  Knowledge in the management and administration of various MLOPS/DEVOPS tools like Jenkins, pyServer, Kubernetes charts, MLFlow, MetaFlow, Jupyterhub.

• Publish Inference Endpoints for consumers. Ability to design solutions to deploy ML Solutions in Batch or Interactive ways. 

• 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. 

Qualifications

• Demonstrated experience in the aforementioned areas, particularly in Large Language Models, Time Series Forecasting, NLP, Recommender Systems, Anomaly Detection, Data Mining, SQL, UX prototyping (Streamlit, Gradio) and Cloud Computing. 

• Good understating of DevOps, cloud computing, bash scripting, Kubernetes and Jenkins is a must. 

• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. 

• Previous experience in the healthcare sector and a solid understanding of its regulatory landscape is a plus.

• Strong skills in data analysis and visualization is a must.

• Excellent communication and teamwork skills. 

• Knowledge of privacy and security standards in the healthcare sector would be a significant plus. 

• Fluent English is a must.

Education and Experience

• Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field. A Ph.D. would be advantageous. 

• Minimum 5+ years’ experience working with business leadership in creating measured value of IT investment.

• 3+ years of experience in commercial technologies supporting capabilities such as marketing enablement, sales enablement, contracting, customer experience, etc.

• 3+ years of experience in life sciences is a plus.

• 2+ years of experience in building cases (costs, benefits, assumptions).

• Prior experience working in a highly matrixed, large organization preferred.

We offer

• Probation period of 3 months and then for an indefinite period.

• Competitive salary, annual bonuses, recognition award program.

• Corporate culture based on our values: collaboration, speed, courage and simplicity.

• Possibilities for development on a personal and professional level in one of the leading global MedTech companies.

• Package of benefits including Private medical care (Lux Med), Life Insurance, Multisport card.

• Bax4U - cafeteria/lunch cards (300 PLN).

• PPE program with very attractive conditions available for each employee after 3 months.

• Educational support: fully covered language courses (English or other languages according to business needs), financial certifications (ACCA, CIMA).

• Co-financing of holidays and an additional 2 days off from work annually.

• Employee Stock Purchase Plan.

• Great Warsaw office location - Powiśle!

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 Americas_TTA@baxter.com and let us know the nature of your request along with your contact information.

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