pOur client in Berlin is expanding its AI capabilities and is looking for an experienced AI Tech Lead to take ownership of the company's AI landscape.
This is a strategic and hands-on position focused on designing enterprise-grade AI platforms, shaping technical direction, and ensuring AI initiatives deliver measurable business value.
/ppbr / /ppCandidates must already reside in Berlin or be prepared to relocate.
/ppApplicants must be eligible to work in the EU, as visa sponsorship is not available.
/ppThis role is only open for employees.
/ppbr / /ppstrongTasks and responsibilities: /strong /pulliDevelop the long-term AI architecture roadmap and align it with business and technology strategies; br / /liliDesign robust AI and machine learning platforms that are scalable, reliable, and secure; br / /liliAssess, recommend, and implement appropriate AI technologies, cloud services, and development frameworks; br / /liliPartner with engineering, data, and product teams to deliver high-quality AI solutions that satisfy technical, operational, and regulatory requirements; br / /liliBridge the gap between research and real-world implementation by transforming innovative AI concepts into production systems; br / /liliDefine architecture standards, governance policies, and best practices for responsible AI adoption; br / /liliDrive technicaldecision-making across AI initiatives and provide architectural guidance to multidisciplinary teams; br / /liliEstablish processes for model deployment, monitoring, performance optimization,



and continuous improvement throughout the AI lifecycle; br / /liliStay informed about emerging AI technologies and identify opportunities to enhance existing solutions; br / /li /ulpbr / /ppstrongProfile: /strong /pulliMaster's degree or PhD in Computer Science, Artificial Intelligence, Data Science, or another relevant discipline; br / /liliDemonstrated experience delivering enterprise AI solutions; br / /lili+3 years in an architectural or technical leadership capacity; br / /liliStrong technical background in machine learning and deep learning, with expertise in areas such as NLP, computer vision, or similar AI technologies; br / /liliPractical experience with leading cloud environments including AWS, Microsoft Azure, or Google Cloud Platform; br / /liliHands-on knowledge of modern AI frameworks and libraries, including TensorFlow, PyTorch, and Hugging Face; br / /liliSolid understanding of distributed systems, API-driven architectures, microservices, and large-scale data processing; br / /liliExperience implementing MLOps practices, including CI/CD for ML, automated deployment, model versioning, and production monitoring; br / /liliFamiliarity with AI governance, responsible AI principles and compliance considerations; br / /liliStrong analytical mindset with excellent communication and stakeholder management skills; br / /liliExperience working with business intelligence, advanced analytics, or AI-powered operational platforms is advantageous; br / /liliFluent in English; br / /li /ul

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