Spring Internship - Machine Learning Engineer at G+D Netcetera, gaining hands - on experience in machine learning. Collaborate on projects and develop data - driven models in a supportive environment.
About the role
- Senior Lead AI/ML Engineer at Brillio configuring and integrating Devin.ai in enterprise settings. Collaborating with engineering and security teams for effective platform deployment and governance.
Responsibilities
- Lead the configuration and environment setup of Devin.ai in enterprise settings.
- Integrate Devin with existing developer tools:
- oGitHub
- oCI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.)
- oJira/ServiceNow
- oInternal code repositories and artefact stores
- Configure access controls, role-based permissions, and secure networking.
- Work with architecture and cybersecurity teams to ensure:
- oData security, compliance, and privacy alignment
- oProper isolation of environments
- oSecure API usage and credential management
- Create governance models for safe and responsible AI use.
- Define how Devin integrates into SDLC, DevOps, QA, and engineering workflows.
- Develop templates, SOPs, and best practices for:
- oAutonomous task execution
- oCode generation & review
- oAutomated testing & deployment
- oObservability & quality checks
- Enable multi-team adoption with operational readiness plans.
- Conduct enablement sessions, hands-on training, and workshops for engineering teams.
- Build documentation, user guides, and troubleshooting playbooks.
- Support early-stage pilots, use case discovery, and enterprise-scale rollout.
- Serve as the subject matter expert for AI-driven engineering workflows.
- Provide recommendations on scaling DevOps, platform engineering, and automated development using AI.
- Collaborate with product and engineering leaders on roadmap alignment.
Requirements
- 6+ years of experience in Software Engineering, DevOps, MLOps, or Platform Engineering.
- Strong understanding of:
- oLLM-based coding tools or AI copilots
- oCI/CD pipelines
- oCloud platforms (AWS, Azure, GCP)
- oContainerization (Docker, Kubernetes)
- Hands-on experience integrating or configuring developer platforms.
- Familiarity with secure coding, enterprise security standards, and governance systems.
- Strong scripting knowledge (Python, Bash, YAML).
- Excellent communication and stakeholder management skills.
- Experience implementing AI agents or autonomous coding tools.
- Exposure to Devin.ai, GitHub Copilot, AWS CodeWhisperer, or similar tools.
- Understanding of SDLC automation, IaC (Terraform), and DevSecOps practices.
- Prior experience working with enterprise engineering transformation projects.
- Certifications in cloud (AWS/Azure/GCP), DevOps, or AI tools.
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