Senior Machine Learning Engineer, AI Platform (m/f/d)
At Smartly, we offer a place where you can advance your career. Here, you'll find: 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, where diverse perspectives are valued and encouraged. Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth. Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave. Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities. Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.
- Build ML-based software systems that enable our users to craft great advertising experiences and campaigns
- Work with a large span of datasets from image to video to audio to text to structured performance data.
- 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.
- 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.
- Impact the daily life of the staff of the hundreds of advertisers using Smartly
- 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.
- 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.
- Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.
- 5+ years of experience developing and deploying production-quality software
- 2+ years of experience delivering software services powered by machine learning
- 2+ years of experience working with cloud infrastructure such as AWS or GCP
- Fluent in Python; experience with C++ or Java is a plus
- Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
- Experience in feature engineering, model evaluation, diagnostics, and monitoring
- Strong foundation in linear algebra, statistics, and calculus
- Experience building scalable data pipelines for ML-based data processing
- Experience developing and maintaining services under SLA
- Analytical mindset with a problem-solving approach
- Passion for solving customer challenges quickly while making thoughtful architectural decisions
- Adaptability and resilience when facing new or ambiguous challenges
- Strong written and verbal communication skills in English
- M.Sc. in a relevant field is preferred
- Ability and willingness to work in a hybrid capacity from our office We offer 3 days a weekWhat We Offer You
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