Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The job offers flexible working hours and promotes work/life balance with options like flexing work times to fit your productivity, but specific remote or office requirements are not detailed.
Required skills include proven experience building customer-facing ML-based APIs, strong knowledge of API integration (RESTful, GraphQL), experience with data preprocessing, SQL/NoSQL databases and vector stores like Solr, and familiarity with deployment tools like Docker and Kubernetes.
The company promotes a healthy work/life balance with flexible hours, wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, while encouraging collaboration in an agile team environment.
Strong candidates have a degree in Computer Science or related field, experience scaling applications to handle TBs of data, DevOps tool knowledge like Jenkins and Terraform, and excellent problem-solving and communication skills.
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