Machine Engineer for AI and ML Integration - Remote (m/f/d)
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 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
Onboarding Program
Flat Hierarchies
Startup Flair
Project Responsibility
Promotion of Employee Initiatives
Agile Working
What should you bring along?
- You are proficient in Machine Learning and GenAI with a strong background in machine learning and a minimum of three years of hands-on experience in deploying NLP and generative models (such as BERT, Llama, or similar) in production, particularly for text-based tasks
- You have programming and model integration skills with expertise in Python (TypeScript is a strong plus) and experience integrating language models into production systems with a focus on reliability scalability and security
- You have MLOps and CI/CD experience with knowledge of CI/CD practices ideally with GitHub to streamline and automate model development and deployment
- You understand data security and performance optimization with a strong understanding of security data privacy and performance tuning specific to machine learning and GenAI in cloud environments
- You have GenAI and NLP expertise applying GenAI to enhance user experiences with a good grasp of advanced text generation summarization and other generative tasks relevant to sustainability data processing
- You are collaborative and quality-driven valuing collaboration engaging in pair programming and prioritizing high-quality work through peer code reviews
At least 3 years of work experience required
Languages
Skill set
About Sunhat GmbH
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.
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