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). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-24296
Pay Range: $48/hr - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Design and implement cloud solutions, build MLOps on cloud (AWS or Google Cloud Platform)
- 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
Key Requirements and Technology Experience:
- 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 ability to build MLOps pipelines on cloud solutions (AWS or Google Cloud Platform)
- 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
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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