MOIN,
BERLIN

Senior AI Project Lead – Berlin (Hybrid) Salary: €100k-€120k Are you obsessed with delivering real impact through AI? Do you thrive at the intersection of strategy, tech, and delivery - and want to lead ambitious AI projects from inception to implementation? At DeepRec.ai, we’re partnering with a cutting-edge AI consultancy based in Berlin, known for their unconventional thinking, startup energy, and ability to turn AI into real business breakthroughs. Their tight-knit, high-performing team is growing fast - and they’re looking for a Senior AI Project Lead who’s ready to build, lead, and land transformational AI projects that make a difference.What You'll Do:Own delivery from end to end – Lead AI projects from initial scoping through MVP launch and integration.Bridge stakeholders and tech – Be the trusted point of contact for clients, driving collaboration across teams and functions.Drive real outcomes – Translate ambiguous challenges into clearly scoped projects that generate exponential value.Shape the company – Take a core role in scaling a high-impact AI business and influencing its direction internally and externally.Mix it up – Work across industries: from corporates to NGOs, scale-ups to public sector bodies, all with one mission—AI done right.What You Bring:Proven delivery track record – 4+ years of experience managing and delivering complex, high-stakes projects in tech, consulting, or product.Execution mindset – You thrive under pressure, move fast, and bring others with you. Project management methodologies (Agile, Scrum) are second nature.Fluency in ambiguity – You make sense of messy, undefined challenges and chart a clear path forward.Strong communicator – Comfortable leading workshops, driving client conversations, and writing clearly (in German and English, C1+).Tech-fluent – You don’t need to code, but you speak the language of machine learning and understand the basics well enough to guide engineers and spot risks early.Bonus Points:Experience leading AI/ML projectsFamiliarity with Germany’s mid-market (“Mittelstand”) or public sector environmentsOpenness to travel (2–3 times/month)What’s On Offer:Leadership from day one – Influence the strategy, shape the culture, and take ownership of critical client relationships.Startup energy, solid foundation – A profitable, fast-growing company with no red tape, built by top-tier minds.High-impact projects – From voice assistants to large-scale predictive models, this team builds the real thing—not just PowerPoints.Flexible working – Hybrid setup with office space in Berlin.Top-tier compensation – Matching seniority and experience.This is not just another PM role. It’s a chance to drive real AI transformation in Europe—working with an elite team that values autonomy, curiosity, and courage.

Our client is building certifiable Level 4 autonomous driving systems for local public transport—designed and developed in Germany. Their mission is to connect people, no matter where they live, by enabling self-determined and sustainable mobility through cognitive artificial intelligence. Their unique approach, rooted in neuroscience and explainable AI, enables real-time decision-making in complex and unknown traffic scenarios—without relying solely on data from millions of kilometres of driving. As a Scene Understanding Engineer, you will play a vital role in shaping the perception and cognition systems that allow our autonomous driver to interpret and interact with its environment. Responsibilities: • Develop and enhance scene understanding algorithms for complex, real-world environments. • Design and implement modular, explainable systems that integrate sensor data and support perception and localization modules. • Lead small development teams and contribute to overall system architecture and software integration. • Collaborate with cross-functional teams to ensure seamless interaction between perception, planning, and control modules. • Participate in testing and validation of autonomous systems in both simulated and real-world environments, including field testing. • Support the certification process by developing traceable and explainable logic for perception systems. Requirements: • Degree in Robotics, Localization, Sensor Fusion, or a related field. • Strong software development skills with C++ and Python. • Proven experience in leading small engineering teams and managing complex software systems. • Solid understanding of model-based design and modular system architecture. • Experience with robotics or autonomous vehicle platforms in real-world or motorsport environments. • Good grasp of deep learning principles, especially as applied to perception. • Fluent in written and spoken English. • Willingness to travel for testing and collaborative projects. • Familiarity with sensor fusion, object fusion, and localization algorithms is a plus. Note: Some technical experience (e.g., deep learning, motorsport testing, or control systems) may be negotiable depending on your background and ability to learn quickly. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.

Our client is pioneering Level 4 certifiable autonomous driving solutions, tailored for public transport and designed with safety at the core. By leveraging cognitive intelligence and cutting-edge AI based on German research, we create autonomous systems that make logical, explainable decisions in complex road scenarios. Our mission is to enable sustainable, safe, and scalable mobility solutions, ensuring that autonomous technology can connect people everywhere—especially in rural areas and underserved communities. As a Reinforcement Learning Engineer, you'll be instrumental in advancing our unique decision-making framework based on cognitive neuroscience. Your expertise in inference-driven AI, probabilistic modelling, and goal-directed behaviour will help us develop explainable, adaptive systems for autonomous driving. Responsibilities: • Design and implement decision-making architectures based on Active Inference, Bayesian models, and reinforcement learning principles. • Develop generative models and inference-based systems to guide autonomous agents under uncertainty. • Integrate concepts from cognitive robotics, predictive coding, and goal directed behaviour into scalable autonomous driving modules. • Apply and extend the Free Energy Principle and planning-as-inference frameworks for real-world applications in perception and control. • Model and simulate agent-based, hierarchical inference systems to support adaptive, real-time decision-making. • Collaborate cross-functionally with neuroscience-inspired perception, planning, and systems teams to ensure coherence in cognitive modelling. • Analyse and validate behaviour of autonomous systems in both simulation and field test environments. Requirements: • Solid background in reinforcement learning, probabilistic inference, or computational neuroscience. • Experience with Active Inference, Bayesian inference, or hierarchical generative models. • Proficiency in Python (PyTorch, TensorFlow, or JAX), with the ability to implement and train complex inference systems. • Familiarity with decision-making under uncertainty, cognitive architectures, or embodied cognition frameworks. • Strong theoretical foundation in neuro-inspired AI, behavioural modelling, or theoretical neuroscience. • Experience integrating sensorimotor control, action selection, or adaptive control in real-time systems. • Background in robotics, autonomous agents, or AI planning systems is a strong plus. Note: Experience with interdisciplinary AI combining machine learning, neuroscience, and robotics is highly valued, but not strictly required. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district