Applied Machine Learning
vor 1 Monat
About Recyda
At Recyda, we thrive to revolutionise the world of packaging sustainability and circular economy. We have embarked on a mission to become the undisputed category winner for digital packaging sustainability management. With our innovative software-as-a-service solution, we are transforming the way companies achieve their sustainability goals.
With our technology, we aim to solve every headache associated with the intricate web of sustainability requirements in each market. Our all-encompassing platform streamlines the sustainability journey - from tracking and reporting to compliance and optimisation. Our software solution already serves as a game-changer to global companies like Beiersdorf and Kao.
The stage is set, and the excitement is contagious. We recently received funding from top tier investors like Speedinvest, Auxxo Female Catalyst Fund and Futury Capital as well as founders of TWAICE, Planetly and one • fıve. The countdown to a sustainable future begins now
The Role
As an Applied LLM & Machine Learning Engineer at Recyda, you'll be responsible for integrating advanced Machine Learning and Large Language Models (LLMs) techniques into our packaging sustainability management platform. Your work will directly impact how some of the largest enterprise clients in the world analyze, report, and improve their packaging sustainability efforts.
Tasks- Own initiatives to develop and implement ML & LLM solutions to automate and enhance packaging analysis for sustainability metrics (incl. e.g. recyclability, producer responsibility, regulations, etc.)
- Design and build intelligent systems to extract insights from vast amounts of packaging and regulation data
- Collaborate with cross-functional teams to identify opportunities for AI-driven improvements in our platform
- Stay up-to-date with the latest advancements in LLMs, ML, and AI, and propose innovative applications for our platform
Professional Experience:
- 5+ years of experience in general software development, with a current focus on ML and AI applications. Preferably a “full-stack” mindset and experience with Node.js and TypeScript-based applications.
- Strong programming skills in relevant languages and familiarity with ML frameworks (e.g. TensorFlow, PyTorch)
- Experience working with LLMs and natural language processing techniques
- Solid understanding of data structures, algorithms, and software design principles
- Excellent problem-solving skills and work ethic to thrive in a fast-paced startup environment
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies is a plus
- Interest in sustainability and circular economy concepts is of course a big plus
Soft Skills:
- Flexibility and reliability are important in your work environment
- Strong goal-orientation with a high degree of initiative and motivation
- Proficient English skills
- Open to work in an agile, multi-cultural team and strive for continuous learning and improvement
- Opportunity to work with cutting-edge technologies that impact the sustainability of packaging across the whole value chain
- A fast-paced VC-funded startup environment with a collaborative and diverse team
- Remote work possible
- Professional development and learning opportunities
- Chance to make a real impact on global packaging sustainability efforts
If you're passionate about using AI to drive sustainability and want to be at the forefront of packaging innovation, we want to hear from you
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