We are a fast-growing Climate Tech start-up looking for a talented Machine Learning Engineer/AI Engineer to strengthen our Technology & Innovation team. The ideal candidate will have a strong background in machine learning and deep learning, with hands-on experience using the Azure AI platform.
About ClimateCamp 💚
We are on a mission to de-carbonize supply chains!
ClimateCamp is a Software as a Service (SaaS) startup that allows companies to get a 360-degree view on their environmental impact with a focus on carbon emissions in the supply chain. With ClimateCamp, companies can easily collaborate with key stakeholders to get up-to-date insights into these emissions, allowing them to focus reduction efforts most efficiently.
Our platform provides best-in-class tools to ingest/upload, assess and curate and iterate on the organization's activity data to establish their environmental footprints, while integrating seamlessly with our customers ' workflows. This helps sustainability teams to establish reliable and comprehensive environmental footprints faster. We often work closely with our customers’ sustainability teams, and ship new features fast. Customers include niche food & beverage companies to large enterprises, with collaboration across their suppliers.
We are a small team, but our ambitions are big. We are working to become the sustainability data infrastructure connecting companies with their value chain. To get there, we are looking for talented and ambitious people to accelerate this rocketship. At ClimateCamp, we are serious about our work, but don’t take ourselves too seriously. We are looking for motivated, skilled, and pragmatic people who love to collaborate and get the best out of each other.
We are a remote-first company, and our hybrid work model focuses on hiring around our primary locations in Belgium and Luxembourg.
About the position / Responsibilities
We believe in Product Engineers. This is a full-time hybrid role for a Machine Learning /Artificial Intelligence Engineer at ClimateCamp. This role is based in Belgium and offers flexibility for remote work.
As a Machine Learning /Artificial Intelligence Engineer, you will be responsible for developing and implementing machine learning models and algorithms, analyzing large and complex datasets, and creating data-driven solutions to address sustainability challenges for organizations. You will collaborate with a multidisciplinary team to design, develop, and deploy machine learning solutions that power our platform.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and the daily workflow efficiency of business functions.
We build and evolve our platform to release product features and end-to-end AI-powered experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock options in the future.
You will join a dynamic (mostly remote) team of engineers, creatives, scientists and business minds that want to work hard, and enjoy ourselves while doing so. Check out our virtual office.
You will work in a team to develop the solutions in a highly paced agile, cloud-based environment. You will champion our operational practices to ensure a high-quality outcome for our business.
Our stack is primarily using Microsoft Azure AI services, Asp.Net Core back-end, Angular front- end, Azure SQL and a series of complementary components.
What You’ll need
Advanced degree in Computer Science, Data Science, AI, or a related field. 3-5 years of proven experience as a Machine Learning Engineer, Software Engineer, Data Scientist or similar role.Experience with data preprocessing, feature engineering, and model evaluation.
Extensive knowledge of machine learning techniques and algorithms, including but not limited to supervised and unsupervised learning, natural language processing and deep learning.Proficiency in relevant programming languages and frameworks (Python, SQL, PyTorch, TensorFlow).
Proficiency with Azure AI services and experience with deploying AI applications to at least one major cloud platform (Microsoft Azure, Hugging Face).Ability to use LLMs and its techniques (RAG, prompt engineering) and integrate AI Agents based workflows.
Ability to assemble pragmatic solutions combining AI API services, traditional software engineering and custom ML based techniques, balancing short term needs and long evolutions potential.
Skills designing and operating cloud databases & storage technologies (Azure Sql, Blob storage, Cosmos DB); Knowledge document and graph-based database technologies is an advantage.
Understanding of data structures, data modeling, and software architecture, time and space-efficient algorithms.
Fluency in English. French, Dutch or other European language will be considered a plus.
Practice with Agile methodologies (Kanban, Scrum).
Knowledge of automated testing and CI/CD pipelines (Azure DevOps).
Experience in the environmental or climate science domain is a plus.
What It takes
Passion for ClimateTech and use of technology for impact. Adaptability, Autonomy & Proactiveness: You know how to thrive in a startup-up environment where everything is evolving fast with a high degree of uncertainty. You know how to adapt to change, be extremely efficient, scrapy, take initiative and proactively get things done. Ability to delivering on multiple competing priorities. Problem-Solving Mindset: You have a strong ability to think critically and creatively, providing effective solutions to complex data and engineering challenges.Innovation and Entrepreneurial spirit – ownership, eagerness to take initiative and incubation of new ideas and concepts. Desire to create practical new business applications based on leading edge technologies.Structured and crystal clear written and verbal communication.Prototyping to explore high impact AI opportunities and developing state-of-the-art machine learning algorithms.Analyze large, complex datasets and decide on the appropriate techniques for data preprocessing and model selection.Design and develop machine learning models to address various sustainability-related challenges, including assignment of environmental impact indicators and document processing to enhance sustainability profiles of organizations or products.Deploy ML models, perform model QA, execute ML monitoring & optimization of model performance in production. Collaborate with product managers and software engineers, to understand customer needs, translate them into ML problems and ensure that the models are well-integrated into ClimateCamp products.Strong product sense and customer centric mindset (Design Thinking).
Continuous Learning: drive to learn, from deep technical matters to soft-skills and business or domain aspects. Stay updated with the latest advancements in the field of AI and ClimateTech.Remote Work: You are used to work in a remote-first team and know how to collaborate efficiently in an asynchronous manner.What we offer 😍
Open & fast growth environment.
High level of autonomy, flexible working hours and remote working.
40 days of holidays.
Quarterly workation trips across Europe and monthly offsite for in-person collaboration.
Modern hardware and all the software you could need.
Wonderful international team.
Recruitment process
Apply via email or LinkedIn.
CV and online profiles screening.
Screening call: first 20-min call with the hiring founder.
Behavioral interview: Second call with another co-founder.
Technical interview: Case study to assess problem-solving abilities, domain knowledge and technical skills,
Interview with an advisor or external expert and reference checks.
Offer presentation and final call.
Should you be highly motivated, please don’t be afraid to apply even though you don’t tick all boxes and let us know in your cover letter why you fit like a glove to the role!
