Senior Analyst, Machine Learning Engineer
Senior Analyst, Machine Learning Engineer
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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. Youll feel a sense of purpose throughout the organization as we know our work improves outcomes for millions of patients.
Baxters 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 liveswhere 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 stateoftheart 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.
Responsibilities
Large Language Models: Develop applications using large language models like GPT3.5/4 and LLAMA2 to extract insights and create multistep 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 Agentic AI MCP Generative AI 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 Jenkins ArgoCD and Terraform/OpenTofu 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 privacy and security standards would be a significant plus.
Strong skills in data analysis and visualization is a must.
Excellent communication and teamwork skills.
Fluent English is a must.
Education and Experience
Bachelors or masters degree in computer science Data Science Statistics or a related field. A Ph.D. would be advantageous.
Minimum 3 years experience working with business leadership in creating measured value of IT investment.
1 years of experience in commercial technologies supporting capabilities such as marketing enablement sales enablement contracting customer experience etc.
1 years of experience in life sciences is a plus.
Prior experience working in a highly matrixed large organization preferred.
We offer
Fixedterm 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).
Cofinancing 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 Powile!
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 the 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 our Recruitment Fraud Notice.
Required Experience:
Senior IC
Employment Type
Full-Time
