greenteg AG offers high-tech thermal sensing solutions for an international customer base.
Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings we also offer a unique core body temperature measurement solution (CALERA) for wearable devices. The technology empowers customers with a wide range of innovative applications such as improving sports performance continuous and non-invasive patient monitoring ovulation tracking sleep analysis or early detection of diseases.
The company develops manufactures and markets all solutions at our headquarters in Zürich-Rümlang where interdisciplinary teams collaborate closely across hardware engineering embedded systems and machine learning.
Location: Rümlang Switzerland
Workload: 80100%
Start Date: Immediately or upon agreement.
Important Note: You will receive a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
Tasks
To strengthen our R&D team we are seeking a Machine Learning Engineer Wearables & Sensor Data to design implement and optimise Python-based machine learning pipelines and algorithms that power our wearable sensing technology.
Main tasks:
- Develop and validate machine learning algorithms to predict core body temperature and related physiological parameters based on peripheral sensor signals (e.g. heart rate skin temperature heat flux).
- Design implement and document standardised model training and inference pipelines to ensure reproducibility and traceability
- Manage and maintain datasets and measurement databases to ensure data quality accessibility and consistency for model development and evaluation.
- Analyse internal and customer data to assess algorithm performance identify opportunities for improvement and deliver clear analytical reports and recommendations.
- Provide internal consultancy and feedback to product and development teams on algorithm behaviour feasibility and performance to guide product enhancements and innovation.
Requirements
Required Qualifications
- Masters degree (or equivalent) in Computer Science Computer Engineering Electrical Engineering Applied Mathematics Physics or a related quantitative discipline.
- Minimum of 2 years of relevant industry experience in machine learning or data science development.
- Ability to provide a public or private code repository (e.g. GitHub GitLab Bitbucket) showcasing previous Python-based projects including data analysis machine learning pipelines or production-level code.
- Valid swiss work permit / EU citizenship
Specific Skills & Competencies
- Advanced proficiency in Python with demonstrated experience developing high-quality maintainable and efficient code using libraries such as NumPy SciPy scikit-learn TensorFlow and PyTorch.
- Strong understanding of Python software engineering best practices including version control (Git) modular code design testing and documentation.
- Solid foundation in time-series data analysis and signal processing with practical Python implementation experience.
- Familiarity with databases and data storage solutions including experience with time-series databases (e.g. InfluxDB TimescaleDB or similar) and efficient handling of high-frequency sensor data.
- Strong knowledge of modern machine learning models and architectures training workflows and model evaluation techniques with a demonstrated ability to stay up to date with emerging methods tools and industry best practices.
- Excellent analytical and problem-solving abilities with a proven track record of translating complex problems into robust Python-driven solutions.
- Strong communication skills with the ability to present technical concepts results and insights clearly to both technical and non-technical audiences.
- Languages: English C1.
Benefits
What we offer:
- 25 annual paid vacation days (at 100% workload).
- A stimulating role in high-tech manufacturing involving diverse technologies.
- Collaborative participation in enhancing company processes.
- An energetic young and international team.
- Flexible worktime option for 1-2 remote days per week (at 100% workload).
- Regular social events teambuilding BBQ free coffee and snacks.
Interested Join us!
Send your application CV and a short cover letter.
Very important!
You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
greenteg AG offers high-tech thermal sensing solutions for an international customer base.Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings we also offer a unique core body temperature measurement solution (CALERA) for wearable devices...
greenteg AG offers high-tech thermal sensing solutions for an international customer base.
Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings we also offer a unique core body temperature measurement solution (CALERA) for wearable devices. The technology empowers customers with a wide range of innovative applications such as improving sports performance continuous and non-invasive patient monitoring ovulation tracking sleep analysis or early detection of diseases.
The company develops manufactures and markets all solutions at our headquarters in Zürich-Rümlang where interdisciplinary teams collaborate closely across hardware engineering embedded systems and machine learning.
Location: Rümlang Switzerland
Workload: 80100%
Start Date: Immediately or upon agreement.
Important Note: You will receive a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
Tasks
To strengthen our R&D team we are seeking a Machine Learning Engineer Wearables & Sensor Data to design implement and optimise Python-based machine learning pipelines and algorithms that power our wearable sensing technology.
Main tasks:
- Develop and validate machine learning algorithms to predict core body temperature and related physiological parameters based on peripheral sensor signals (e.g. heart rate skin temperature heat flux).
- Design implement and document standardised model training and inference pipelines to ensure reproducibility and traceability
- Manage and maintain datasets and measurement databases to ensure data quality accessibility and consistency for model development and evaluation.
- Analyse internal and customer data to assess algorithm performance identify opportunities for improvement and deliver clear analytical reports and recommendations.
- Provide internal consultancy and feedback to product and development teams on algorithm behaviour feasibility and performance to guide product enhancements and innovation.
Requirements
Required Qualifications
- Masters degree (or equivalent) in Computer Science Computer Engineering Electrical Engineering Applied Mathematics Physics or a related quantitative discipline.
- Minimum of 2 years of relevant industry experience in machine learning or data science development.
- Ability to provide a public or private code repository (e.g. GitHub GitLab Bitbucket) showcasing previous Python-based projects including data analysis machine learning pipelines or production-level code.
- Valid swiss work permit / EU citizenship
Specific Skills & Competencies
- Advanced proficiency in Python with demonstrated experience developing high-quality maintainable and efficient code using libraries such as NumPy SciPy scikit-learn TensorFlow and PyTorch.
- Strong understanding of Python software engineering best practices including version control (Git) modular code design testing and documentation.
- Solid foundation in time-series data analysis and signal processing with practical Python implementation experience.
- Familiarity with databases and data storage solutions including experience with time-series databases (e.g. InfluxDB TimescaleDB or similar) and efficient handling of high-frequency sensor data.
- Strong knowledge of modern machine learning models and architectures training workflows and model evaluation techniques with a demonstrated ability to stay up to date with emerging methods tools and industry best practices.
- Excellent analytical and problem-solving abilities with a proven track record of translating complex problems into robust Python-driven solutions.
- Strong communication skills with the ability to present technical concepts results and insights clearly to both technical and non-technical audiences.
- Languages: English C1.
Benefits
What we offer:
- 25 annual paid vacation days (at 100% workload).
- A stimulating role in high-tech manufacturing involving diverse technologies.
- Collaborative participation in enhancing company processes.
- An energetic young and international team.
- Flexible worktime option for 1-2 remote days per week (at 100% workload).
- Regular social events teambuilding BBQ free coffee and snacks.
Interested Join us!
Send your application CV and a short cover letter.
Very important!
You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
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