Über das Unternehmen
Stell dir eine Welt vor, in der Nachhaltigkeitsberichte keine stundenlange, anstrengende Aufgabe mehr sind – das könnte bald Wirklichkeit werden. Wir revolutionieren die Art und Weise, wie Unternehmen mit ihren Umwelt-, Sozial- und Governance-Zielen umgehen, indem wir innovative Softwarelösungen für die Automatisierung von Nachhaltigkeitsberichten entwickeln. Als Teil unseres Teams wirst du daran arbeiten, die Herausforderungen der Nachhaltigkeitsberichterstattung zu bewältigen und Unternehmen dabei zu unterstützen, effizientere, überprüfbare Ergebnisse zu erzielen. Deine Arbeit wird nicht nur die Umwelt verbessern, sondern dich auch beruflich und persönlich wachsen lassen, um die Zukunft, die du dir vorstellst, zu gestalten.
What do we offer?
~ Flexible & Remote Work: Fully remote opportunities within CET, with full team meet-ups every three months
~ Competitive Compensation & Equity: Competitive salary packages and equity options based on qualifications and experience
~ 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
~30 Days of Vacation
What can you expect?
You drive machine learning and generative AI initiatives from ideation to deployment ensuring solutions are robust scalable and seamlessly integrated into our platform
You 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
You collaborate closely with software engineers to integrate GenAI and traditional ML models directly into our platform focusing on efficiency security and performance at scale
You utilize modern MLOps practices and TDD to ensure reliable maintainable pipelines ensuring models can be rapidly iterated and deployed
You 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
What should you bring along?
Experience and Professional Background: You have at least 5 years of professional experience, ideally in an environment that works with European standards
Proficient in GenAI and Machine Learning: You bring hands-on experience in NLP and generative models such as Llama, Claude, BERT, or similar, especially in production settings, primarily focused on text-based tasks
Programming and Model Integration Skills: You exhibit expertise in TypeScript and have experience integrating language models into production systems with an emphasis on reliability, scalability, and security. Expertise in Python is considered an additional asset
GenAI and NLP Expertise: You are proficient in applying GenAI to enhance user experiences and have a good grasp of advanced text generation, summarization, and other generative tasks relevant to sustainability data processing.
Fullstack Development Skills: You are skilled in building server-side components using TypeScript or Python and have a solid understanding of the full spectrum of client-server architecture
SaaS Experience: You have experience implementing AI within B2B SaaS applications
MLOps and CI/CD Experience: You possess knowledge of CI/CD practices, ideally utilizing GitHub, to streamline and automate model development and deployment
Data Security and Performance Optimization: You have a strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments
Collaborative and Quality-Driven: You value collaboration, engage in pair programming, and prioritize high-quality work through peer code reviews
Fluent in English: Your proficiency in English is required for effective communication with our team and stakeholders
Unser Jobangebot AI Software Engineer - Data Science / Machine Learning/ TypeScript (m/w/d)klingt vielversprechend?
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