DevOps/MLOps Engineer

• Drive, design and own development of platform to deliver data based on actionable insights

• End to end responsibility for the technical requirements, design, development, integration and verification of platform-based solution that uses machine learning to analyze large datasets

• Select, design and implement suitable cloud databases for slow and fast data storage with emphasis on scalability, reliability and performance

• Optimize the ML algorithms to ensure high performance and reliability

• Develop API strategy, APIs and design pathways to integrate with customer systems

• Create and maintain a CI/CD infrastructure that supports the scaling of the AWS-based platform

• Provide and maintain tooling, templates, and best practices to standardize development, deployment, and ML workflows

• Monitor, troubleshoot, and continuously improve production systems, CI/CD workflows, and ML pipelines, with a focus on performance, security, and cost

• Actively participate in software development and integration of real time solutions

• Close collaboration with the team on the development process, including defining goals and ensuring milestones delivery in a high cross-functional capacity as per customer's needs

Do you have experience in Terraform?, Do you have a Master's degree?, * MSc or advanced degree in a relevant field with 5+ years of experience in MLOps, ML model deployment, and cloud infrastructure

• Strong hands-on experience with AWS services (e.g. EC2, S3, IAM, ECR, ECS/EKS, SageMaker)

• Proven experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)

• Strong proficiency with Linux, scripting, and automation (Bash, Python)

• Experience with containerized environments (Docker; Kubernetes is a plus)

• Practical experience supporting machine learning workflows, including training, model versioning, and deployment

• Strong problem-solving and communication skills, with the ability to document systems and workflows clearly

Preferred Requirements

• Experience with Infrastructure as Code tools (Terraform, CloudFormation, or equivalent)

• Experience with embedded real times system is a huge plus

Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence.