Top Machine Learning Jobs in Berlin

Design and govern agentic interfaces and domain architectures for AI-driven workflows across logistics, fleet, and mobility. Translate customer workflows into reusable agent skills, context and memory models, and orchestrations. Drive data-centric learning loops with data science, define integration patterns with enterprise systems, and ensure security, observability, and explainability. Own concept-to-implementation delivery and continuous improvement of domain agent capabilities in production.

Sell Zscaler Zero Trust Branch solutions across DACH, owning regional quota, building account-based strategies, partnering with solution engineers, engaging C-suite and technical stakeholders to close complex deals for SD-WAN, data security, and advanced network products.

Design, build, and productionize machine learning solutions on AWS. Work end-to-end from data exploration, feature engineering, modeling, and evaluation to packaging, deploying, monitoring, and iterating models (including LLM/GenAI workflows). Collaborate with engineers, product partners, and data scientists to deliver reliable, reproducible ML systems and move prototypes into scalable production.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

The role involves sourcing and evaluating AI infrastructure founders, supporting them through early stages of investment, and representing the firm with technical expertise.

As a Founding Engineer, you'll build innovative maritime and subsea technologies from scratch, focusing on autonomy, AI, and hardware integration while collaborating closely with the founding team and stakeholders.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

Develop and maintain a TypeScript/JavaScript fullstack IoT platform dashboard (React, Koa/Express), collaborate on microservices, write high-quality code and tests, and contribute to product and architecture decisions in an agile team.

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

Design, implement, and test automation and robotic systems for machine vision and industrial applications. Develop embedded product designs and manufacturing processes, collaborate with R&D team, analyze test data, and maintain inspection and maintenance plans.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

The Director of Business Development at Moloco will drive revenue growth, close partnerships, and support expansion across EMEA while focusing on AI-powered advertising solutions.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

The Vice President, Product will define and scale the product vision for an AI-driven trade platform, overseeing product strategy and leading teams across multiple functions to enhance automation and address customer needs effectively.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

The Senior Data Product Manager drives product maturity and strategic growth at Seqana by translating user needs into technical requirements, overseeing product lifecycles, and exploring market opportunities.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

As a Senior Machine Learning Scientist, you'll identify ML opportunities, work with teams to research algorithms, conduct data analysis, and prototype solutions for customer value, while applying advanced ML techniques and collaborating with engineers for production deployment.

Responsible for driving business development of AI products, managing the sales cycle, building client relationships, and ensuring contract negotiations are completed.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Lead the Affordability domain for Quick Commerce: define vision and roadmap, deliver item-level promotions and pricing solutions, align global stakeholders, partner with engineering and data science, run experiments, and measure impact on conversion, AOV, and retention.