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 / DevOps 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.
requirements-expected :
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 prototypeing (Streamlite, 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.
Bachelor's or master's degree in computer science, Data Science, Statistics, or related field. And Ph.D. would be an advantage.
1+ year hand-ons experience in building and maintaining GENAI / AI solutions on an enterprise environment.
offered :
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.
PPE program with very attractive conditions available for each employee after 6 months.
Fully covered language courses (English or other languages according to business needs).
Co-financing of holidays and an additional 2 days off from work annually.
Employee Stock Purchase Plan.
Great Warsaw office location - Powiśle!
Reasonable Accommodations
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
fruits
corporate products and services at discounted prices