Summary

The team

Kraken is looking for an experienced Machine Learning engineer to join our AI/ML Team in the centralized Data organization. In this role you will be applying cutting edge AI/ML technology to solving the most complex and exciting problems in the quickly growing and evolving crypto industry. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to identify business problems, explore different ways to resolve issues, and systematically find the most efficient and effective way to deliver business impact.

The opportunity

1. Assist in designing, implementing, and deploying Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction
2. Collaborate with data scientists, software engineers, and business partners to identify AI/ML opportunities for improving operation scalability and efficiency
3. Assist in developing production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more
4. Support the monitoring and improvement of model performance via data enhancement, feature engineering, experimentation and online/offline evaluation
5. Stay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry

Skills you should HODL

1. Experience in building, deploying, measuring, and maintaining machine learning models
2. Experience with GenAI / LLM's running in production, both open source and proprietary
3. Familiarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices
4. Programming skills in Python, Scala, Go or other languages
5. Good written and verbal communication skills and interpersonal skills
6. Experience or familiarity with ML frameworks, such as scikit-learn, Tensorflow, PyTorch
7. Experience or familiarity with Big Data tools – Spark, S3, Hadoop
8. Experience or familiarity with MLOps platforms, such as Kubeflow or MLFlow, is a plus
9. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus
10. Bachelor's degree in Computer Science, Machine Learning or related field
11. A minimum of 2 years of experience in AI/ML engineering, with a focus on learning and skill development

Skills

• Communications Skills
• Development
• Generative AI
• Machine Learning
• Python