AI/ML Engineer

Munkaköri leírás

About the job

Description

SEON is the leading fraud prevention system of record, catching fraud before it happens at any point across the customer journey. Trusted by over 5,000 global companies, we combine your companys data with our proprietary real-time signals to deliver actionable fraud insights tailored to your business outcomes. We deliver the fastest time to value in the market through a single API call, enabling quick and seamless onboarding and integration. By analyzing billions of transactions, weve prevented $200 billion in fraudulent activities, showcasing why the worlds most innovative companies choose SEON.

What youll 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
  
  

Whats next:

Does that sound good to you? Great, we cant wait to hear from you! Would you like to learn more about what its like to work at SEON first?