Machine Learning Engineer, WARSZAWA

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. 


• Day off for birthday. 


• Great Warsaw office location - Powiśle! 

,[ 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.  ] Requirements: Machine Learning, Forecasting, NLP, SQL, UX, Prototyping, Cloud computing, DevOps, Bash, Python, Deep learning, PyTorch, Keras, Degree, Data science, Data analysis, TensorFlow Additionally: Sport Subscription, Private healthcare, Lunch card, Language courses, Annual bonus, Stock options, Competitive compensation, Life insurance, Training budget, International projects, Free coffee, Bike parking, Shower, Mobile phone, In-house trainings, In-house hack days, Modern office, No dress code.