We are looking for experienced Machine Learning Engineer who will focuse on developing and optimizing AI models for clinical trials involving sensor analyzer data.
Remote work
International project
responsibilities :
Develop and optimize machine learning models for binary and multi-classclassification in clinical trials.
Work with time-series sensor data from analyzer sensor devices.
Apply signal processing techniques to denoise and preprocess sensor traces.
Optimize models for different metrics such as accuracy, sensitivity and specificity.
Contribute to the automation of data ingestion and processing.
Collaborate with data engineer, software developer, and clinical researchers tointegrate machine learning models into clinical workflows.
Document methodologies and results for regulatory and investor presentations
requirements-expected :
Strong Python skills, with experience in Scikit-Learn, TensorFlow, PyTorch, orequivalent ML frameworks.
Expertise in signal processing and time-series analysis
Knowledge of feature engineering and statistical analysis.
Strong understanding of model validation techniques.
offered :
Stable employment. International projects for Global Fortune 500 companies.
Indefinite period contract, without a non-competition clause.
100% remote work. You can choose to work from any place in the world
Flexibility regarding working hours. Autonomy to choose the way you work. We trust you.
Annual Training&Development Budget, upskilling support, capability development programs
Cooperation with top-tier engineers and experts.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere
Agile approach and no bureaucracy
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health. Luxmed Gold Extended medical care and Multisport Plus benefit.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
