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n/a n/a Monthey CH

AI Engineer Trainee - 18 months

Syngenta Crop Protection Monthey AG Production Chimique
Date de publication


Syngenta is a global leader in agriculture; dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Monthey is the largest and most complex of Syngenta’s Crop Protection sites, operating in both Active Ingredients production in two distinct areas New AI’s and established AI’s.

AI Engineer Trainee – 18 months (m/f/d)

You will evolve within the Engineering Expertise Team in charge of the development and management in standards of the site. This multidisciplinary team is composed of different experts by sector of activity, from mechanics to computer science, at the service of production teams.

Role Purpose:

Sponsored by the Head of AI Manufacturing, this Master is a recognized, flexible and professionalizing training in line with recent developments in our company.

It has many advantages:

Combines Project within Syngenta and theoretical distance learning courses
Diploma recognized in Switzerland and abroad
Personalized follow-up and close contact with teachers and researchers thanks to e-tools
Acquisition of professional skills in parallel with theoretical education
During 18 months, for the 1st part of the work, the applicant, for the applied Master in artificial intelligence, will have:

to learn AI theoretical skills based on Idiap’s online courses available on the Swiss Distance Learning University platform, which represent 50% of the workload
to follow the theoretical training and pass the exams
The second part is dedicated to the applied learning through the development of a project linked to an area of Syngenta. For that purpose, the applicant will have defined the scope and to implement a development project, in agreement with his manager.


Conduct a state-of-the-art review of existing approaches to production data
Carry out a preliminary study to identify the most promising approaches
Implementing new data connectors to implement these approaches in an industrial and standard way
Define test protocols for the different models
Validate or invalidate models and approaches according to predefined protocols
All documentation should be written in French, possibly in English to allow collaborative work with other English-speaking Syngenta sites.

A Bachelor’s degree in computer sciences or an equivalent degree
Ideally a Master’s degree in mathematics, informatics, artificial intelligence, technology or science
Expertise of Python is mandatory, ideally also C++
Advanced level in english (oral and written)
Team spirit
Ability to understand and assimilate new information
Be able to popularize complex concepts
We offer a variety of financial and non-financial benefits including:

Competitive pension fund plan,
Impactful work in a stimulating and international environment
Flextime working arrangements with an open culture and diverse workforce
The opportunity to work with and learn from highly qualified and experienced employees
Free parking
Interested? We are looking for someone as of February 2022 and look forward to receiving your online application including all relevant documents (cover letter, CV, diploma, certificates) – reference number 18033219.

Please be aware that the job title may differ from the position title.

Learn more about our team, our mission and how we achieve our goals.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status