Software Engineer for Machine Learning Image Dataset Management
Inwatec ApS
Are you a Code Whisperer who thrives in a dynamic, innovative environment? Join our team of talented software developers and engineers and be part in moving our vision where creativity, collaboration and nerdiness are essentials.
At Inwatec you will be collaborating with machine learning experts to level up tools for data sanitization and image dataset creation. Join our team and help us build the tools we need for training the best in class image classification models.
KEY RESPONSIBILITIES
- Utilize Python and PostgreSQL to build and maintain backend systems for storing and handling vast amounts of image data
- Influence the tech stack decisions and nerd out on the architecture design process
- Work in a flat hierarchy, embracing a nerdy and playful company culture that values innovation
REQUIRED SKILLS
- We welcome individuals from diverse backgrounds - we value talent and a passion for coding above all
- If you thrive in a collaborative, fast-paced environment and are passionate about optimizing code to support machine learning journeys, we want to hack with you!
- Excellent understanding of code with a focus on object-oriented programming and SQL queries
- Experience in building and maintaining REST-based backend systems like a true data wizard
- Strong software architecture mindset for constructing robust systems
- Ability to speak the language of machine learning experts to implement features for dataset manipulation
INWATEC - THE LAUNDRYNERDS
Inwatec ApS develops and produces machines and robots for industrial laundries worldwide. We are a fast-moving company in rapid development and our team is creative and dynamic, with very dedicated employees. We love our informal work environment, where every idea is taken seriously and everybody is treated equally. On Fridays, we meet at our bar for an after-work beer, a barbecue, or some ping-pong. Sounds good? What are you waiting for?
Apply now at www.inwatec.dk/job to be a part of our nerdy team shaping the future of machine learning image processing!
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Application deadline:
15. August 2024
Employment:
As soon as possible
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