[Hiring] SRE – ML focus @Pyramid Consulting

Role Description

Immediate need for a talented SRE – ML focus. This is a 06+ months contract opportunity with long-term potential and is located in Austin, TX / Sunnyvale, CA (Remote).

Key Responsibilities:

• Design and implement cloud solutions, build MLOps on cloud (AWS or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Flux, Kustomize, Circle CI, Airflow or similar tools
• Data science model containerization, deployment using Docker, VLLM, Kubernetes
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Communicate with a team of data scientists, data engineers and architects, document the processes
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference

Qualifications

• Key skills: Python scripting, MongoDB, API integrations
• 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS
• Good understanding of Apache SOLR
• Proficient with Linux administration
• Knowledge of ML models and LLM
• Ability to understand tools used by data scientists and experience with software development and test automation
• Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (AWS or GCP)
• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open-source tools
• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
• Experience with Docker and Kubernetes
• Experience developing containers and Kubernetes in cloud computing environments
• Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Good communication skills and ability to work in a team

Requirements

• Pay Range: $48/hr - $50/hour

Benefits

• Employee benefits include, but are not limited to, health insurance (medical, dental, vision)
• 401(k) plan
• Paid sick leave (depending on work location)