This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
Infonex Technologies - Oakland, CA
posted 2 months ago
Full-time - Senior
Oakland, CA
Professional, Scientific, and Technical Services
About the position
The Sr MLOPS/DevOps Engineer will be responsible for building and deploying machine learning pipelines, managing on-prem infrastructure, and ensuring best practices in software development. This role requires a strong background in machine learning frameworks, containerization, and configuration management, with a focus on supporting data science initiatives in a research environment.
Responsibilities
- Build and deploy machine learning pipelines using tools like Kubeflow, MLflow, or Airflow.
- Manage on-prem infrastructure with a focus on containerization using Docker and Kubernetes.
- Implement configuration management practices using Yarn and Yaml files.
- Perform infrastructure management tasks including Linux patching, troubleshooting, and load balancing.
- Oversee version control using GitLab/GitHub for on-prem infrastructure.
- Utilize big data technologies such as Hadoop and Hive for data processing.
- Create data visualizations using Grafana, Prometheus, and Elk.
- Develop scripts in Python and other languages to automate tasks.
Requirements
- Bachelor's degree in Computer Science or equivalent.
- Minimum 8 years of related experience in MLOps/DevOps roles.
- Proven experience with machine learning concepts and frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of software development best practices including version control and CI/CD.
- Experience with on-prem infrastructure build out of containerization (Docker, Kubernetes).
- Knowledge of configuration management tools and practices.
- Experience with Linux infrastructure management and troubleshooting.
Nice-to-haves
- Experience with big data storage management (MapR storage, EMC Isilon, Vast storage).
- Advanced Linux administration skills.
- Expertise in additional scripting languages (Ruby, bash).
- Experience with security practices including LDAP integration and Vault development.
- Knowledge of virtualization technologies (VMware administration, Harvester).
- Familiarity with operating systems such as CentOS, RHEL, and Ubuntu.
- Background in health research.
Benefits
- Health insurance
- 401k plan
- Paid time off
- Professional development opportunities
