Machine Learning Engineer Cologne Berlin

Sunhat was founded to transform how companies manage and share sustainability data with both internal teams and external stakeholders. We believe technology is essential in closing the gap between rising ESG demands and the ability to deliver trustworthy, audit-ready proof.

🪄 By streamlining every step — from mapping requirements to preparing and maintaining documentation — Sunhat empowers sustainability teams to work faster, stay compliant, and strengthen stakeholder trust with reliable, verifiable information. 🌱

We are funded by world-class investors and are proud to support mission-driven companies all over the world in taking their sustainability program to the next level. Join us in revolutionizing the way companies exchange sustainability information.

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 LLMs, 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.

Drive generative AI and machine learning initiatives from ideation to deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform.

Work on generative AI and natural language processing tasks, such as text generation, semantic similarity, and classification, leveraging advanced models.

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 LLMOps 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.

Proficient in GenAI and Machine Learning :
Multiple years of hands-on experience in NLP and generative models (such as Gemini, Mistral, Llama or similar) in production, particularly for text-based tasks. Experience with Vertex AI is a plus.

Programming and Model Integration Skills :
Expertise in Type Script and experience integrating language models into production systems with a focus on reliability, scalability, and security. Expertise in Python is a plus but not a must.

Fullstack Development Skills :
Skilled in building server-side components in Type Script or Python. You understand the full spectrum of client-server architecture.

LLMOps and CI/CD Experience :
Knowledge of CI/CD practices, ideally with Git Hub, to streamline and automate model development and deployment.

SaaS experience :
You have implemented AI in B2B SaaS applications.

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.

Fluent in English:
Proficiency in English is required for effective communication with our team and stakeholders.

Flexible & Remote Work:
Fully remote opportunities within CET.

Competitive Compensation & Equity:
We offer competitive salary packages and equity options.

Family-Friendly Environment:
High flexibility to support work-life balance.

Top Equipment & Tools:
State-of-the-art technology setup.

Continuous Learning:
Educational budget for courses, conferences, and more.

If you’re excited about this role and want to help us advance sustainability in tech, we’d love to hear from you!

We are an equal opportunity employer and strongly encourage candidates from all backgrounds to apply.

We look forward to receiving your application! Please note that due to the large number of applicants and limited resources, we may not be able to answer each one personally.