Job Description
As a Machine Learning Ops (MLOps) engineer, you will be responsible for building and
maintaining the next generation of Hyperscience’s ML Platform and Infrastructure.
You
will lead initiatives geared towards making the ML Engineers and Applied Scientists at
Hyperscience more productive.
You will make improvements to and extend the
underlying infrastructure that powers the ML teams, thus simplifying the development
and deployment cycles of ML models.
You will help establish best practices for the ML
pipeline and partner with other infrastructure ops teams to help champion them across
the company.
Responsibilities
● Design and build effective, user-friendly infrastructure, tooling, and
automation to accelerate Machine Learning
● Collaborate with teams to drive the ML technical roadmap
● Collaborate with Machine Learning Engineers and Product Managers to
develop tools to support experimentation, training and production
operations
● Build and maintain data pipelines using tools like Hadoop, Python,
Airflow, and Kafka
● Offer support and troubleshooting assistance for the ML pipeline, while
continuously improving stability along the way
● Build and maintain systems employing an Infrastructure-as-Code
approach
● Own the AWS stack which comprises all ML resources
● Establish standards and practices around MLOps, including
governance, compliance, and data security
● Collaborate on managing ML infrastructure costs
Qualifications
● 1+ years of experience with ML infrastructure and ML DevOps
● 1+ years of overall engineering experience in distributed systems and
data infrastructure
● 1+ years experience coding in Python (preferred) or other languages
like Java, C#, Golang etc.
● Experience working with ML engineers to build tooling and automation
to support the entire ML engineering lifecycle, from experimentation to
production operations
● Experience with Kubernetes and ML CI/CD workflows
● 1+ years experience with AWS or other public cloud platforms (GCP,
Azure, etc.)
● Excellent verbal and written communication skills.