Junior Data Engineer (CDI/Apprentissage)

At FarmWise, we harness the power of AI to find solutions to combat food production challenges, and help growers thrive in this new farming era. We work hand in hand with growers to understand their constraints, address their priorities, and build products that are changing their lives for good. 
We’re a diverse team of analytical problem-solvers who are deeply motivated by challenges. We value open communication and a dedication to self-improvement. If you are interested in working on technology that will have a big impact on agriculture. Join us!
The French office is in charge of building AI algorithms for FarmWise robots and a data platform for farmers. You will be part of a growing team of highly motivated engineers passionate about AgTech . You will have the opportunity to travel to California to familiarize yourself with the US agriculture ecosystem.

About the Work

• Design and maintain data analytics pipelines transforming and uploading raw data to our farmer facing interface
• Develop accuracy metrics to ensure data quality and integrity
• Develop and implement readable, maintainable and efficient production-ready code in Python
• Maintain and improve our MLOps pipeline from dataset creation to models deployment and monitoring
• Analyze data to turn terabytes of Ag data into actionable insights for farmers
• Perform exploratory data analysis on raw data
• Find correlations between our data and other sources of information (weather, soil sensors, satellite images, ...)
• Build predictive models for farmers

Beyond this set of responsibilities, you will be exposed to a broad variety of other challenges as they arise and you will need to discuss, brainstorm and work closely with backend engineers and robotic software engineers.

About You

• About to finish your studies in software engineering, computer science, applied mathematics or related field
• Have worked on projects in data engineering, data science, or a related field
• You are an independent problem solver who loves to tackle hard engineering challenges
• Proficient in Python in a production environment
• Experience with software development best practices: code reviews, version control, and testing
• Experience with Linux development environments
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Experience with databases (SQL)
• A good understanding of modern machine learning algorithms, statistical models, or optimization
• Willingness to learn and expand your skills beyond your zone of comfort 
• Experience with computer vision or hardware generated data is a plus

What we Offer

• Be part of an international team and visit offices in California and Arizona
• Work with experts in their field who are passionate about having an impact in the world
• A hybrid-remote work policy
• Flexible format depending on your formation

Hiring Process

• 1/ HR Interview
• 2/ Technical Interview + Coding Challenge
• 3/ In person (or Video) interviews with various team members

The entire process can be completed remotely and will be conducted in English

*Please submit your resume in English*