20 beste vacatures voor de functie van machine learning engineer in weesp (nieuwe medewerkers gezocht)

ML Software Internship
Veridis —Amsterdam Zuid
- E-mail
- Stage
- Python
- Flexibele werkuren
Lead Applied Scientist
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Analytisch vermogen
- Machinaal leren
- Begeleiding
- Budget voor professionele ontwikkeling
Snel solliciteren
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Amsterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
(Senior) Engineer I, Product Intelligence [Algorithm Development]
ASM International —Almere
- Fulltime
- Doctor
- Master
- C++
Data Scientist
Good Company —Utrecht
- Online sollicitatie
- Hybride werken
- Azure
- Master
- Analytisch vermogen
Junior Data Scientist
Rewire —Amsterdam Oost
- Fulltime
- Hybride werken
- Engels
- Onderzoek
- Master
Snel solliciteren
Senior Data Scientist - Commodity Trading and Risk Management
McKinsey & Company —Amsterdam
- Informatica
- Onderzoek
- Master
Staff Backend Engineer – AI
Stream —Amsterdam
- Fulltime
- Hybride werken
- Kantoor
- ICT
- AI
- Verhuisvergoeding
9 dagen
(Senior) Engineer I, Product Intelligence [Algorithm Development]
ASM —Almere
- Doctor
- Master
- C++
Senior Data Scientist 5 - Media Science
Netflix —Amsterdam
- SQL
- Python
14 dagen
Data Scientist
Capgemini —Utrecht
- € 5.900 per maand
- Fulltime
- Data-analyse
- Analytisch vermogen
- Machinaal leren
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Junior Quantitative Researcher
Pinely —Amsterdam
- Fulltime
- Informatica
- C++
- Bachelor
- Verhuisvergoeding
Snel solliciteren
Senior Data Scientist
ING —Amsterdam
- Hybride werken
- Doctor
- Master
- Communicatieve vaardigheden
Senior Machine Learning Engineer
Good Company —Utrecht
- Online sollicitatie
- Engels
- Productie
- Python
Senior GenAI Engineer
Curamando —Amsterdam
- € 5.150 - € 6.350 per maand
- Azure
- DevOps
- Databases
Senior Applied Scientist
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Doctor
- Informatica
- Engels
- Budget voor professionele ontwikkeling
Snel solliciteren
Lead Machine Learning Engineer
Capgemini —Utrecht
- Fulltime
- Azure
- Productie
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Senior Machine Learning Engineer
Capgemini Sogeti —Utrecht
- Parttime
- Hybride werken
- Informatica
- Azure
- Engineering
- Reiskostenvergoeding
- Flexibele werkuren

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ML Software Internship

Veridis -
Amsterdam Zuid

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Vacaturegegevens

Stage

Secundaire arbeidsvoorwaarden

Flexibele werkuren

Kwalificaties

Git
OOP
GitHub
Python

Volledige vacaturetekst

Company Information

Veridis is a deep-tech startup developing a novel instrument to improve quality control in plastic recycling: MADSCAN®. This MADSCAN® technology is a thermal analysis technique. This technology can be used to analyse plastics/polymers to give a material characterisation (material type, degradation, etc.). With our MADSCAN® technology we scale up the sample size from conventional technologies by a factor 100.000. This allows us to give a representative analysis of large batches of plastics, thereby increasing the relevance to the recycling industry. With this method we are able to analyse dark plastics, detect material degradation, and most importantly we directly increase the commercial value of recycled plastics.

Veridis has the ambitious goal to create a better future through science and technology. We are trying to create a place of work where scientists and engineers can develop technical opportunities for the benefit of society and climate. To achieve these objectives we are offering an internship with flexible working hours, an informal atmosphere, and a lot of independence and responsibility.

Assignment Description

The candidate will receive a fully implemented, though sub-optimal, Machine Learning pipeline implemented with the principles of Distillation from Weak Teacher (DWT) methodology. The candidate will be requested to do assisted and/or independent research on potential improvements for the pipeline with ultimate target the optimization of the systems’ performance in polymer fraction predictions. The project will include tasks such as model architecture optimization, fine-tuning, visualisation and interpretation of results. The code will be written in Python language and shall follow Software Engineering standards, giving the opportunity to the candidate to learn industrial-scale skills and collaboration best practices.

Intern Profile

You are a creative and curious person who is not afraid of a challenge and working with the inherent uncertainty that novel technological and software development brings. You like taking initiative and contributing new ideas about how to improve. Also, critical thinking and the ability to conceptually interpret thermal measurement data are required. You are able to develop software at an academic level and are capable of communicating the results, problems and next steps clearly.

We are very flexible in time requirements; we would like to fill the internship position full time, but part time is also a possibility.

Responsibilities

Research novel solutions that can improve the performance of the existing MADSCAN ML pipeline.
Write Python code to implement ML solutions and test them based on Software Engineering standards.
Document work in a clean way.
Collaborate using the version control system Git.

Requirements

- Good knowledge of Python or other Object Oriented Programming language.
Good understanding of Machine Learning models such as NNs, RFs, SVMs.
Knowledge of Distillation from Weak Teacher (DWT) methodology.
Ability to conduct independent research of novel advancements in the field that can directly be applied and improve the MADSCAN ML pipeline.
Good communicational skills, team spirit and willingness to learn new things about Machine Learning, Computer Engineering and Data analysis.

Preferences

- Knowledge/Understanding of Thermal Analysis.
Understanding of class and flow diagrams.
Having experience or understanding of Git, GitHub and version control tools.

Note that we can only consider students that are situated in the Netherlands during the duration of the internship. Please send your CV and list of grades to [email protected]

We are constantly improving and advancing in our theoretical research, product development, value proposition, market research, etc. Since this requires a lot of work, we are always looking for people that want to join us in our journey to a better future. Are you interested in working for us or are you looking for an internship? Please contact us via [email protected] or the email listed on the specific vacancy.

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machine learning engineer vacatures in weesp

ML Software Internship

Lead Applied Scientist

Machine Learning Engineer - Fulfillment

(Senior) Engineer I, Product Intelligence [Algorithm Development]

Data Scientist

Junior Data Scientist

Senior Data Scientist - Commodity Trading and Risk Management

Staff Backend Engineer – AI

(Senior) Engineer I, Product Intelligence [Algorithm Development]

Senior Data Scientist 5 - Media Science

Data Scientist

Junior Quantitative Researcher

Senior Data Scientist

Senior Machine Learning Engineer

Senior GenAI Engineer

Senior Applied Scientist

Lead Machine Learning Engineer

Manager Data Science

Data Scientist - QuantumBlack, AI by McKinsey

Senior Machine Learning Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in weesp

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