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Senior Machine Learning Engineer, AI Platform

smartlyio Sourced

Berlin, Germany Full-time Not specified

About the role

<p>We are looking for a <strong>Senior</strong> <strong>Machine Learning Engineer</strong> to join the <strong>AI Platform Team</strong> at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.</p> <p>Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!</p> <h2><strong>As a Senior Machine Learning Engineer, you’ll:</strong></h2> <ul> <li>Build ML-based software systems that enable our users to craft great advertising experiences and campaigns&nbsp;</li> <li>Work with a large span of datasets from image to video to audio to text to structured performance data.</li> <li>Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.</li> <li>Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.</li> <li>Impact the daily life of the staff of the hundreds of advertisers using Smartly&nbsp;</li> <li>Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.</li> <li>Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.</li> <li>Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.</li> </ul> <h2><strong>What we are looking for:</strong></h2> <ul> <li>5+ years of experience developing and deploying production-quality software</li> <li>2+ years of experience delivering software services powered by machine learning</li> <li>2+ years of experience working with cloud infrastructure such as AWS or GCP</li> <li>Fluent in Python; experience with C++ or Java is a plus</li> <li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li> <li>Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)</li> <li>Experience in feature engineering, model evaluation, diagnostics, and monitoring</li> <li>Strong foundation in linear algebra, statistics, and calculus</li> <li>Experience building scalable data pipelines for ML-based data processing</li> <li>Experience developing and maintaining services under SLA</li> <li>Analytical mindset with a problem-solving approach</li> <li>Passion for solving customer challenges quickly while making thoughtful architectural decisions</li> <li>Adaptability and resilience when facing new or ambiguous challenges</li> <li>Strong written and verbal communication skills in English</li> <li>M.Sc. in a relevant field is preferred</li> <li>Ability and willingness to work in a hybrid capacity from our office 3 days a week</li> </ul> <h2 data-section-id="13jnv45" data-start="2080" data-end="2101">What We Offer You</h2> <p data-start="2102" data-end="2184">At Smartly, we offer a place where you can advance your career. Here, you'll find:</p> <p data-start="2186" data-end="2458">An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, wh

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