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Machine Learning Operations Engineer
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About RavenPack, We are at the forefront of developing next-generation AI tools for finance. With 20 years of experience as a leading big data analytics provider, we empower our clients to enhance returns and reduce risk. Our new suite of GenAI and SaaS services is designed for financial professionals.
We're looking for a Machine Learning Operations Engineer to build and maintain our ML infrastructure. The ideal candidate will have a proven track record in MLOps/DevOps and software automation projects. They should have experience with all phases of the software development life cycle, from requirements gathering to monitoring ML models performance.
First Month: Onboarding process starts with scheduled meetings to get an overall understanding of company products and specific project details. Participation in scrum ceremonies and reviewing actual ML processes and infrastructure begins after this month. After three months: Contributions to existing work on ML infrastructure can start, collaborating closely with QAs, ML, and DevOps engineers. Proposing new initiatives and strategies can begin since now having an overall view of products and tech stack.
Job Highlights:
- $120,000 - $150,000 per year (estimated salary)
- Develop and maintain ML infrastructure
- Experience in MLOps/DevOps and software automation
- Collaboration with QAs, ML, and DevOps engineers
