We're excited to offer this opportunity to join our team. Take a look at the details of this position and apply if you feel you're a good fit. We look forward to receiving your application.
Deploy, manage and monitor machine learning models in production environments.
Collaborate with data scientists and data engineers to design, implement, and optimize machine learning pipelines.
Design and implement automated testing and validation processes for machine learning models.
Develop and maintain infrastructure and tools for machine learning model training and deployment.
Continuously improve and optimize the performance, scalability, and reliability of machine learning infrastructure and applications.
Keep up-to-date with the latest developments in machine learning, cloud computing, and DevOps practices.
4 years of experience in machine learning operations and a strong understanding of AWS technologies.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
At least 4 years of experience in machine learning operations or a related field.
Strong understanding of AWS technologies, including EC2, S3, Lambda, Terraform and SageMaker.
Proficiency in programming languages such as Python, Java, or C++.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with version control systems such as Git.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Fluent in written and verbal English.
You don't have to meet all requirements  to be able to apply.
Apply if you think you are a good fit and we will take it from there.