About the company
Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Our 2,350+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.
Job Summary
The opportunity
📍Build ML and AI Ops infrastructure to enable the development and deployment of production models running at scale. This includes deployments across multiple cloud infrastructures 📍Lead resource planning and optimization, especially with GPU instances 📍Develop tool(s) to load test various production AL/ML systems 📍Work closely with SREs across the entire organization 📍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
📍Experience in deploying, maintaining, and monitoring production systems 📍A minimum of 3-5 years of experience in DevOps, SRE, AI/ML Engineer, or a similar discipline 📍Familiarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices 📍Programming skills in Python, Scala, Rust or other languages 📍Good written and verbal communication skills and interpersonal skills 📍Deep experience with Kubernetes and Docker 📍Experience with AWS, specifically S3, Athena, EMR, Sagemaker, and Lambda 📍Experience with Terraform, MLFlow, Flink, Kafka, MariaDB, and Nomad are all a plus 📍Knowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus 📍Bachelor's degree in Computer Science, Machine Learning or related field
