(Senior) Applied AI/ML Engineer (f/m/d)

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Perelyn

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Artificial Intelligence • B2B

<Perelyn> ist ein europäisches Beratungs- und Ingenieurbüro für künstliche Intelligenz, das Unternehmen bei der Gestaltung, dem Aufbau und dem Betrieb von KI-Systemen auf Produktionsniveau unterstützt. Sie sind spezialisiert auf generative KI und große Sprachmodelle (LLMs), autonome KI, GenVision und Computer Vision, Signalverarbeitung sowie KI-Betrieb (MLOps / LLMOps). Darüber hinaus bieten sie Dienstleistungen in den Bereichen KI-Compliance, vertrauenswürdige KI und KI-Sicherheit an. Perelyn arbeitet mit großen B2B-Kunden aus Branchen wie Energie, Transport und Telekommunikation zusammen, um Proof-of-Concepts, kundenspezifische Chatbots, Anomalieerkennung und Modelleistungsbewertung bereitzustellen.

11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

🤝 B2B

Beschreibung

• 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

🎯 Anforderungen

• 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 • 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 • 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

🏖️ Vorteile

• Competitive salary with performance-based bonuses 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 for free