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Senior Machine Learning Operations Developer – AI/ML Platform
Allstate Northern Ireland. Implement and optimize MLOps practices for Autodesk’s AI/ML Platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in MLOps practices, including automated deployment pipelines, model governance, and compliance standards. Proficient in Infrastructure as Code, containerization, and monitoring tools to ensure efficient machine learning operations.
Highest-signal resume keywords
MLOps ImplementationInfrastructure as CodeDocker and KubernetesCI/CD Pipeline ManagementPython Scripting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
MLOpsAutomated Deployment PipelinesModel Version ControlProcess AutomationData PrivacyData EncryptionAccess ControlsIncident ResponseOperational Issue ResolutionMonitoring and Logging Systems
Soft Skills
CollaborationCommunication
Tools & Technologies
TerraformAnsiblePrometheusGrafanaELK Stack
Certifications & Qualifications
BS in Computer ScienceMS in Computer Science
Industry Keywords
Machine LearningProduction EnvironmentsCompliance StandardsEthical ConsiderationsPlatform Security
Tech Stack
Tools & technologiesAnsibleDockerGrafanaKubernetesPrometheusPythonTerraform
About the role
Key responsibilities & impact- Implement and optimize MLOps practices for Autodesk’s AI/ML Platform
- Design and implement automated deployment pipelines for machine learning models
- Collaborate on scalable infrastructure for model training, inference, and data processing
- Develop and maintain monitoring and logging systems for model performance, system health, and platform efficiency
- Work with data developers on data pipelines for model training and validation
- Implement model version control and contribute to model governance and compliance
- Uphold data privacy, ethical considerations, platform security, and compliance standards
- Identify and implement process automation and optimization strategies
- Identify and resolve operational issues and contribute to incident response and system recovery
- Collaborate with research and product engineering teams across design, construction, manufacturing, and media and entertainment domains
Requirements
What you’ll need- BS or MS in Computer Science, or related field
- 5+ years of hands-on experience in DevOps and MLOps, focused on deploying and managing machine learning models in production environments
- Proficiency in Infrastructure as Code using Terraform or Ansible
- Strong expertise in Docker and Kubernetes
- Experience setting up and managing CI/CD pipelines for machine learning projects
- Strong scripting skills in Python, Bash, or similar languages
- Familiarity with Prometheus, Grafana, or ELK Stack
- Understanding of MLOps security best practices, including data encryption, access controls, and compliance standards
- Excellent collaboration and communication skills with cross-functional teams
- Ability to troubleshoot and resolve complex operational issues promptly
- French-language version of the posting is provided
Benefits
Comp & perks- Hybrid or remote work flexibility, unless otherwise indicated
- Equal opportunity employment
- Consideration of qualified applicants regardless of criminal histories, consistent with applicable law