Senior MLOps Engineer

2 days ago

Apply Now

Receive Emails with Similar Jobs

Anthology Careers

WebsiteLinkedInAll Job Openings

recruiting • careers • matchmaking

2 - 10

Description

• Architecting and development of infrastructure to support AI/ML inference and training at scale • Maintenance of existing model deployments • Interfacing with other engineering teams from Anthology and helping them take advantage of AI/ML models in their products • Gathering knowledge and experience from our partners (AWS, Microsoft, Snowflake, and others) • Actively helping to advance our AI/ML infrastructure and toolbox • Possible occasional travel to the USA or Europe

Requirements

• 6-8 years of experience performing MLOps, DevOps, SW Engineering or similar role • Ability to create robust, high-quality Python code that adheres to best practices such as thorough testing • Experience with SQL and data lakes • Experience creating and maintaining CI/CD pipelines • Deep knowledge of Amazon Web Services • Understanding of Infrastructure as Code and ability to describe AWS infrastructure using CDK • Ability to create and maintain complex Github workflows • Hands on experience of deploying and maintaining AI/ML based services • Fluency in written and spoken English at CEF B2 level or above • Experience with Amazon SageMaker and Amazon Bedrock (preferred) • Knowledge of Data Version Control and Continuous Machine Learning (preferred) • Experience with Azure (preferred) • Hands on experience training AI/ML models (preferred) • Experience with Snowflake and its tools for AI/ML (preferred) • Ability to communicate effectively with technical and non-technical audiences and ability to express complex technical ideas simply (preferred)