51 Machine Learning Operations (MLOps) Engineer Jobs in Sunnyvale, CA
Artmac is Hiring a Machine Learning Operations (MLOps) Engineer Near Sunnyvale, CA
Job DescriptionJob Title : Machine Learning Operations (MLOps) Engineer
Job Type : W2 / C2C / 1099
Experience: 9-20 Years
Location : Sunnyvale, California
We are looking for an MLOps Engineer who will be responsible for designing, building, and maintaining machine learning infrastructure and pipelines. This role requires a deep understanding of both software engineering and data science, with a focus on deploying and maintaining scalable machine learning solutions in production environments.
Responsibilities
- Having experience in product-based technologies Data Engineer, Infrastructure, Load Testing, Python, and DevOps.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
- Strong understanding of CI/CD tools and practices (e.g., Jenkins, GitLab CI/CD).
- Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
- Design and develop robust data pipelines to support machine learning workflows.
- Ensure data quality, integrity, and consistency across various data sources.
- Optimize resource utilization and manage cloud resources (e.g., AWS, Azure, GCP).
- Implement and manage container orchestration using Kubernetes or similar technologies.
- Develop and execute load testing strategies to ensure the scalability and performance of machine learning systems.
- Identify bottlenecks and optimize system performance under high load conditions.
- Develop and maintain Python scripts and libraries for data processing, model training, and deployment.
- Implement CI/CD pipelines to automate the deployment of machine learning models.
- Manage configuration and deployment of infrastructure as code (IaC) using tools like Terraform or Ansible.
- Monitor and maintain the health of production systems, ensuring high availability and reliability.
- Maintain comprehensive documentation of ML pipelines, infrastructure, and processes.
- Bachelor's degree or equivalent combination of education and experience
Job Summary
Contractor
$143k-178k (estimate)
07/03/2024
12/28/2024
The job skills required for Machine Learning Operations (MLOps) Engineer include Machine Learning, Python, Data Science, AWS, Software Engineering, Docker, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Operations (MLOps) Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Operations (MLOps) Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Operations (MLOps) Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Operations (MLOps) Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Operations (MLOps) Engineer. You can explore the career advancement for a Machine Learning Operations (MLOps) Engineer below and select your interested title to get hiring information.
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