• Propose and frame original, research-grade ML problems rooted in your domain • Design evaluation tasks that require specialized knowledge well beyond standard pipelines • Assess AI-generated solutions for correctness, creativity, and methodological rigor — and explain exactly where and why they fall short • Document problem difficulty, required domain knowledge, and expected failure modes

• Help improve existing code base by improving memory and compute efficiency; • Develop new automation pipelines for preparing datasets and running experiments; • Move research into production; • Collaborate with a team of accomplished ML scientists and chemists.

Your mission As an applied AI engineer at Perelyn, you will be involved in both internal and external engagements. Your responsibilities include: - Contributing to a wide range of AI-related projects, which span from LLM use cases to computer vision, full-stack chatbot development, and Machine Learning Operations (MLOps) - Supporting research and product development involving AI components, such as Retrieval-Augmented Generation (RAG) or agentic AI - Engaging in discussions to identify and analyze use cases, both internally and externally, and architecting tailored solutions aligned with business requirements - Closely collaborating with the AI Strategy department to ensure successful implementation of AI-driven projects Your profile Hands-on AI and Machine Learning Experience - Practical mentality with proven experience leveraging various AI/ML models - Ability to implement business-driven Generative AI solutions using frameworks like LangChain, Haystack, or LlamaIndex and software development methodologies - Interest or knowledge in classical Machine Learning/Deep Learning techniques (advantageous but not required) - Experience with LLM/AI Agent evaluation, guardrailing, or trustworthy AI Software Engineering and Deployment - Ability to independently create and deploy AI-driven applications, including backend code - Proficient in Python; familiarity with JavaScript, TypeScript, R, or Java is beneficial - Proficient with containerization and deployment strategies (Docker) - Experience building and consuming REST APIs - Understanding of cloud deployment and cloud-native services Data Engineering - Knowledge of data transformation, cleaning, preparation, and model selection - Preferred: Understanding of how to evaluate large datasets - Preferred: Skills in data structuring and storage modeling Communication and Professionalism - This role requires German language skills at C1 level and fluency in English - Effective communicator capable of articulating technical concepts clearly - Confident in representing the company professionally in client interactions - Team-oriented mindset, open to collaboration and constructive feedback Bonus Qualifications - Knowledge of advanced Machine Learning methodologies with libraries like Scikit-learn, PyTorch, TensorFlow - Background in statistics and model evaluation techniques - Familiarity with computer vision technologies - Experience with MLOps frameworks (e.g., MLflow) - Experience integrating LLMs with graph databases (e.g., Neo4j) - Experience with AI-augmented coding technologies (e.g., Claude Code, Gemini CLI) - Basic understanding of frontend technologies (React or Angular advantageous) Why us? Perelyn is an innovative data-driven AI consultancy company headquartered in the heart of Munich. Since 3 years and counting, we are passionate about turning complex data into actionable insights and customer value. Our projects span across different industries and scopes in Germany and beyond, making a real impact on businesses and society at large.    We at Perelyn offer you:  - Competitive salary with performance-based boni and annual review of package - Opportunity to grow and develop your (technical) expertise, with all relevant training & certification costs being covered - A truly flexible working environment with “remote first” policy, opportunities for part-time work and sabbatical, and family-friendly tailormade solutions that fit all - A dynamic, innovative and experienced team of international professionals that genuinely care (exceptional, but humble :)) - Clear and honest communication on KPIs with adequate tools and structures to facilitate your ownership of projects - Strong company culture with modern values based on respect, credibility, collaboration and continuous learning - Bottom-up decision-making, flat hierarchies and modern equipment tailored to your needs - 30 days annual leave per year + a gym-card (Wellpass) subscription, subsidized by the company

• Contribute to a wide range of AI-related projects, spanning LLM use cases, computer vision, full‑stack chatbot development, and Machine Learning Operations (MLOps) • Support research and product development involving AI components, such as Retrieval-Augmented Generation (RAG) and agentic AI • Participate in discussions to identify and evaluate use cases internally and externally, and design tailored solutions aligned with business requirements • Work closely with the AI Strategy department to ensure successful implementation of AI-driven projects