About this role
The team is seeking a Senior Engineer specializing in MLOps to join their dynamic team. In this role, you will be responsible for building and optimizing machine learning infrastructure to support various projects. You will leverage AWS services, containerization, and automation to streamline the deployment and monitoring of machine learning models.
Key Responsibilities:
- Build and optimize machine learning infrastructure for efficient model deployment.
- Leverage AWS services to enhance operational capabilities.
- Implement containerization techniques to facilitate model deployment.
- Automate workflows to ensure seamless monitoring and management of ML models.
- Collaborate with data scientists and software engineers to integrate ML models into production environments.
- Ensure adherence to MLOps best practices for model management and maintenance.
Required Skills & Qualifications:
- Proven experience in MLOps, with a focus on deploying and managing machine learning models.
- Strong knowledge of AWS services and containerization technologies (e.g., Docker, Kubernetes).
- Proficiency in automation tools and scripting languages.
- Experience in managing large-scale ML operations and infrastructure.
- Familiarity with machine learning frameworks and libraries.
Experience: 5-8 years in MLOps or related fields.
What we offer:
- Opportunity to work on cutting-edge technologies in a collaborative environment.
- Professional development and growth opportunities.
- A supportive team culture that values innovation and creativity.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.