process Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience with container technologies (Docker or Podman) Experience with AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS CLI) Familiarity with Continuous Integration Pipelines (GitLab CI, Travis CI, etc.) Proficiency in one or more scripting languages (Shell, Python, Ruby, etc.) Experience with Source Control Management (Git More ❯
an agile software development environment. Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools. Experience of object orientated programming principles. Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB). Demonstrated ability to share knowledge, concepts, and ideas to a wide range of people. Excellent written and verbal communication with strong interpersonal skills. Experience in mentoring others. More ❯
understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business problems, working with large, unstructured More ❯
decisions and collaborate across disciplines. Experience and skills we'd love: Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet More ❯
