7 machine learning engineer jobs found

Location:   Berlin, Germany (hybrid:   3 days in-office   , 2 days remote) Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily. We're looking for a highly analytical, hands-on engineer who enjoys   digging into complex systems   , solving real-world problems, and growing into a key role at the intersection of   support, infrastructure, and AI systems   . What you'll do Monitor and analyze live systems across stores using logs, telemetry, and video data. Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments). Support and validate deployments — from preparation to rollout in production. Act as a technical interface to customers during rollouts and incident resolution. Work closely with engineering to identify root...

Your Role Work in close collaboration with the Deployment team on the full development cycle of one or more software components for automated off-road driving and their application to real-world vehicle platforms. Depending on your interests and the team’s priorities, your focus may include: Feature development, profiling and benchmarking of software components like The driveblocks off-road 3D state estimation module The sensor (camera/LiDAR/IMU, …) drivers Enabling continuous integration pipelines on target compute platforms (e.g., NVIDIA-based and others). Software release preparations and functional testing. Data management for AI module re-training; involvement in data recording activities in off-road environments. Maintenance of our development vehicles. Preparation and involvement in demos for customers and investors. Your work directly contributes to safely operating heavy machinery in real-world environments. Your Background...

Job Description Team: Tech Job Location: Berlin, Germany, Málaga, Spain, Munich, Germany, Remote, Germany, Remote, Spain Position Type: Permanent, Full-time Work Flexibility: Hybrid, Onsite At BESTSECRET, we are building a next-generation profit optimization engine that determines how we buy, price, and present our products. Our mission is to design and own the system that drives business outcomes by orchestrating pricing, buying, and product visibility into one coherent, profit-maximizing decision engine. We turn data into a strategic advantage by combining advanced modeling, real-time decisioning, and strong business ownership to maximize revenue and efficiency. We are looking for a Director of Data Science, Profit Optimization (all genders) who combines deep technical expertise with strong ownership and leadership. This is a hands-on role for someone who enjoys building and solving complex business problems...

We are seeking a technically skilled and passionate Senior-level Data Scientist with expertise in machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cutting-edge technology to develop Machine learning solutions that optimize our sales and processes. As a Data Scientist at AUTO1 Group in the outflow sales team, you’ll work on solving complex business challenges such as providing personalized recommendation, dynamic pricing for inventory cars, managing demand forecasting for used car markets and finance risk prediction. You’ll drive end-to-end development from prototyping innovative solutions to deploying scalable models. Working closely with devops, engineers, and product teams, you’ll leverage machine learning to...

Berlin based - m/f/d - full time What we do at Plato Plato is the AI-powered Sales Intelligence platform built specifically for B2B wholesale. We transform reactive sales teams into proactive revenue engines by surfacing hidden opportunities in their data. Our platform identifies which customers are at risk, who's ready to buy more, and what products to recommend next - turning thousands of signals into clear next actions. The Wholesale Challenge Why wholesale is different from everything else you've worked on: Imagine building ML for a world where: Your "best customer" might buy twice a year - but spends €500K each time A customer churning doesn't mean they stopped needing your products - they just found another supplier Product catalogs contain 100K+ SKUs but even your best customers only know 500 of them A "trend" might be 3 data points over 18 months Success means helping a sales rep know which of their 200 customers needs...

ABOUT ZELARA Current CRM marketing is broken. It blasts generic messages at scale and calls it "personalization." Our founders lived this problem while leading global, tech-enabled B2C businesses - and decided to fix it. Zelara is   the AI operating system for personalized, digital customer experiences . Our platform uses generative AI and machine learning to build a self-optimizing system that personalizes every B2C interaction in real time — turning impersonal marketing into conversations customers actually welcome. Early results with enterprise customers show a lift in conversion rates and revenue growth. We are well-funded, already generating revenue with paying enterprise customers, and seeing strong market pull. Now we are building the team to scale. THE ROLE This is not a role where you inherit a mature ML stack and optimize metrics at the margin. This is the chance to be the person who builds the core intelligence of an AI-first company from the ground up...

We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) at our Munich location as soon as possible. What you can expect from us: Development and maintenance of marketing mix models for quantifying marketing ROI Development of precise CLV models to support retention and CRM strategies Design robust forecasting models based on modern Bayesian frameworks Using machine learning and automation to scale analytics and accelerate insights. Conducting Monte Carlo simulations for scenario planning and decision support Using geospatial analytics to evaluate market, location, and retail performance Further development of methods such as Causal Inference, Incrementality, Attribution or NLP Development of modern analytical models that show how marketing measurably contributes to business growth – from media effectiveness to customer lifetime value. Working in a multidisciplinary team of data science, strategy and...