Machine Learning Engineer

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, Data Mining, SQL, Cloud Computing and orchestration tools.

Responsibilities

- Large Language Models: Develop applications using large language models like ChatGPT, Llama, Mistral, Claude to extract insights and create convoluted agentic solutions to automate processes.

- Traditional Machine Learning Models Development: Utilize machine learning techniques to create models that can predict future trends based on historical healthcare data.

- Automate Experiments for End2End solutions: Designing Data Pipelines, Modeling Pipelines, Inferences pipeline. Orchestrating the lifecycle of machine learning projects. Knowledge in the management and administration of various MLOps/DDevOps tools like Jenkins, Kubernetes, MLFlow, MetaFlow, Jupyterhub, KubeFlow.

- Deliver end-to-end AI solutions (API, batch): Ability to design, develop and deploy AI Solutions in Batch or Interactive ways.

- Data Mining and SQL: Extract and analyze data from various sources using advanced data mining techniques and SQL.

- Cloud solutions design: Design full solution to host applications ecosystem.

Qualifications

- Fluent English is a must.

- Demonstrated experience in the aforementioned areas, particularly in Agentic AI, MCP, Generative AI, Time Series Forecasting, NLP, Recommender Systems, Anomaly Detection, Data Mining, SQL, UX prototyping (Streamlit, Gradio) and Cloud Computing.

- Good knowledge of DevOps techniques, Python, Linux, and Cloud computing is a must.

- Nice to have: GitOps practices (Jenkins, ArgoCD, Terraform/OpenTofu), Bash scripting, building CI/CD pipelines.

- Proficiency in Linux, Python, Pandas and deep learning frameworks such as TensorFlow, PyTorch, or Keras.

- Strong skills in data analysis and visualization are a must.

- Excellent communication and teamwork skills.

Education and Experience

- Bachelor's or master's degree in computer science, Data Science, Statistics, or related field. A Ph.D. would be an advantage.

- 1+ year hands‑on experience in building and maintaining GENAI/AI solutions on an enterprise environment.

- Practical experience in DEVOPS/MLOPS is a plus.

- 1+ years of experience in life sciences is a plus.

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

We offer

- Fixed‑term contract for 3 months and then for an indefinite period.

- Competitive salary, annual bonuses, recognition award program.

- Culture built 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.

- Day off for birthday.

- Employee Stock Purchase Plan.

- Bax Flex - hybrid model.

- Extraordinary Warsaw office location - Powiśle

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Reasonable Accommodations

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

Recruitment Fraud Notice

Baxter 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 Recruitment Fraud Notice.

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