About SEON

Are you a technically skilled, hands-on engineer that’s passionate about AI & machine learning? Join us at SEON and explore the opportunity to join a world-class research and development organization that is also passionate about creating great data experiences for our software engineers. Those great experiences ensure that we can deliver amazing solutions to the customers that we are obsessed with! 

SEON provides an API-first solution that helps our customers (many of the world's leading providers of digital experiences in financial services, insurance, entertainment, etc) defend their customers from Fraud and Financial Crimes. With over 250 Fraud Fighters across four global offices (Austin, Budapest, London, and Jakarta), our goal remains unwavering: to make the internet a safe place for businesses and customers to transact. Our achievements, including a record-breaking Series B funding round and recognition in TechCrunch, has led to recognition as the World’s quickest-growing fraud prevention company. We take pride in our rapid growth and our mission to democratize fraud-fighting while empowering the best online businesses. Join us in our journey to make the internet a safer space for everyone.

What you’ll do:

• Develop and enhance ML and GenAI applications.
• Maintain and optimize data science and MLOps infrastructure, ensuring scalability, reliability, and efficiency across training, deployment, and monitoring pipelines.
• Transform research prototypes into scalable, production-ready systems, focusing on robustness, performance, and seamless integration into existing platforms.
• Train, fine-tune, and continuously improve ML and GenAI models, optimizing for accuracy, fairness, efficiency, and real-time adaptability.
• Develop and refine model monitoring, evaluation, and drift detection systems to ensure sustained model performance and prevent degradation over time.
• Write production-quality, maintainable, and well-tested code, following best practices in software engineering and MLOps.
• Develop and deploy AI/ML solutions in Python, following best practices in software engineering, containerization (Docker, Kubernetes), and cloud deployment.
• Develop and optimize real-time ML pipelines, integrating stream processing frameworks (e.g., EventBridge, Kafka, Flink, Spark Streaming) to enable low-latency predictions and continuous model updates.
• Implement explainability and interpretability techniques to increase trust and transparency in ML/GenAI models.
• Stay up to date with and work with modern LLM frameworks to build, fine-tune, and deploy generative AI applications efficiently.
• Collaborate with cross-functional teams, including engineering, product, and other development teams, to integrate AI capabilities into business solutions.
• Stay up to date with emerging AI trends and evaluate their applicability to our business needs.

What you'll bring:

• Show deep expertise in data science.
• Experience with scalable application development in Python.
• Strong software engineering skills, including RESTful API development, containerization (Docker, Kubernetes), and cloud deployment.
• Hands-on experience with machine learning, including model training, fine-tuning, and optimization.
• Proficiency in MLOps (CI/CD for ML, monitoring, model versioning, and deployment pipelines).
• Solid understanding of ML algorithms.
• Familiarity with modern LLM frameworks and vector databases.
• Knowledge of stream processing frameworks (e.g., Kafka, Flink, Spark Streaming) for real-time ML inference.
• Fundamental knowledge of data quality, testing methodologies, and model evaluation techniques.
• Commitment to lifelong learning, staying up to date with the latest AI/ML advancements and best practices.
• Out-of-the-box thinking, combined with the ability to adapt to a fast-paced environment.
• Excellent problem-solving skills.
• Fluent English

What’s next:

Does that sound good to you? Great, we can’t wait to hear from you! Would you like to learn more about what it’s like to work at SEON first?
👉 https://seon.io/careers/