SANDBX is looking for an ML/MLOps Engineer.
As MLE/MLOps you will be responsible for developing and maintaining ML-powered services. You will work closely with cross-functional teams and help bridge the gap between the algorithms/models developed by ML Researchers and other systems that utilize them.
Responsibilities:
- Design, develop, and deploy ML-powered systems
- Maintain and improve such systems over time
- Work closely with ML researchers to make sure the systems are functioning correctly and utilize efficient tooling
- Work closely with the infra team to maintain the stability of the systems, identify and help address possible issues with underlying environments
Requirements
- 3 years of experience in software engineering
- Good knowledge of Python and its ecosystem, specifically related to ML applications and their deployment (e.g. knowing how to take a model developed by researchers and convert it into a live deployment)
- Understanding of microservices and common architectural patterns used alongside them
- Experience using any REST framework (FastAPI preferably, but anything similar will do)
- Familiarity with Linux and its ecosystem of CLI tools
- Experience with writing containerized applications using Docker
- Experience with any testing framework
- Understanding of DevOps principles (CI/CD, infrastructure-as-code)
- Experience with deploying any ML-based app
- willingness to learn and being open to new tools/approaches/tech stacks
- Good communication skills
- Effective communication in English
- Understanding the general computational requirements of common ML algorithms
- Experience using (one of) k8s/docker-compose/any major cloud provider
Would be a plus:
- Understanding observability, metrics, alerts
- Data engineering skills
- Any prior MLE/ML research experience
- Experience with any MLOps tools (like MLFlow, Pachyderm, KubeFlow, DVC, etc)
- Familiarity with kubectl for debugging issues with k8s-based deployments
Benefits
We offer:
- Market competitive salary
- Small but highly skilled, technically savvy and passionate team
- Open, honest and inclusive culture
- Unlimited vacations and sick days
- Benefitsperks
Originally posted on Himalayas
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