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Please note that the position is only available to applicants from Germany.

The language requirements for this position are: English - Native speaker.

We are looking for a curious AI software engineer. You'll work on cutting-edge projects involving natural language processing (NLP), text generation, text classification, and semantic similarity search. Responsibilities include evaluating and fine-tuning machine learning models, integrating them into our platform, and optimizing performance for scalability and efficiency. You'll work closely with software engineers and sustainability experts, leveraging your expertise to seamlessly integrate machine learning and AI powered capabilities into our software solution.

Activities

Drive generative AI and machine learning initiatives from ideation to deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform.
Work on natural language processing and generative AI tasks, such as text generation, semantic similarity, and classification, leveraging advanced models, fine-tuning them for specific sustainability use cases.
Collaborate closely with software engineers to integrate GenAI and traditional ML models directly into our platform, focusing on efficiency, security, and performance at scale.
Utilize modern MLOps practices and TDD to ensure reliable, maintainable pipelines, ensuring models can be rapidly iterated and deployed.
Partner with product management, sustainability experts, and the engineering team to translate business requirements into powerful AI-driven features that enhance our product’s capabilities and usability.

Requirements

Proficient in Machine Learning and GenAI: Multiple years of hands-on experience in NLP and generative models in NLP and generative models (such as BERT, Llama, Claude or similar) in production, particularly for text-based tasks.
Programming and Model Integration Skills: Expertise in TypeScript and experience integrating language models into production systems with a focus on reliability, scalability, and security. Expertise in Python is a plus.
MLOps and CI/CD Experience: Knowledge of CI/CD practices, ideally with GitHub, to streamline and automate model development and deployment.
Data Security and Performance Optimization: Strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments.
GenAI and NLP Expertise: Proficiency in applying GenAI to enhance user experiences, with a good grasp of advanced text generation, summarization, and other generative tasks relevant to sustainability data processing.
Collaborative and Quality-Driven: Values collaboration, engages in pair programming, and prioritizes high-quality work through peer code reviews.
Initiative and Adaptability: Takes the lead on new projects, drives them to production, and continuously learns and improves based on outcomes.

Application Process

Discovery Call 💻
Technical Interview 💻
Live Coding Challenge 💻

About The Company

Sunhat was founded to shape the way companies exchange sustainability information with their internal and external stakeholders. At Sunhat, we are big believers in sustainability as the foundation for all products and services. And we truly think that technology can play a key role in supporting businesses and achieving this vision.

🪄 Sunhat streamlines the entire process, from mapping requirements to preparing and maintaining the requested information, empowering sustainability teams to deliver audit-ready responses — at the drop of the hat.

We empower sustainability teams to deliver audit-ready responses for customer questionnaires, reporting checklists and ESG ratings.

And we ❤️ building software that enables individuals and organizations to make the most impact with their work!