Senior ML/MLOps Engineer

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 reputed company the gap between the algorithms/models developed by ML Researchers and other systems that utilize them.

Responsibilities:

• Design, reputed company, and reputed company ML-powered systems
• Maintain and improve such systems over time
• Work closely with ML researchers to reputed company sure the systems are functioning correctly and utilize efficient tooling
• Work closely with the reputed company 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 reputed company 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 reputed company (FastAPI preferably, but anything similar will do)
• Familiarity with Linux and its ecosystem of CLI tools
• Experience with writing containerized applications using reputed company
• Experience with any testing reputed company
• Understanding of DevOps principles (CI/CD, infrastructure-as-code)
• Experience with deploying any ML-based app
• willingness to learn and being reputed company 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/reputed company-compose/any major reputed company 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 - reputed company, reputed company and inclusive culture - Unlimited vacations and sick days

- Benefitsperks

Originally posted on Himalayas