AI Platform Engineer with DevOps Experience
- Halifax, NS, Canada
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Job details
- Posting language
- English
- Posted
Original job description
AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps
What Will You Do?
- Develop value-add services that integrate with the existing DevOps stack.
- Develop CI/CD pipelines using:
- GitHub Actions
- TypeScript
- Python
- Groovy
- Jenkins
- GitHub Actions
- Coach application teams on leveraging DevOps offerings.
- Champion developer experience and DevOps best practices.
- Participate in new tool adoption, POCs, and provide recommendations.
- Evolve DevOps services for application teams.
- Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
- Develop scalable LLMOps and MLOps frameworks for:
- Model deployment
- Monitoring
- Versioning
- Evaluation
- Governance
- Model deployment
- Build reusable AI services.
Must-Have Skills
- Strong engineering capabilities across the SDLC and production-class delivery.
- Strong analytical, communication, ownership, and problem-solving skills.
- Development experience in one or more of:
- Java
- Python
- JavaScript / TypeScript
- C#
- C / C++
- Java
- Experience with application and system design patterns.
- Experience with Docker or Kubernetes.
- Experience with Agile methodologies, including Scrum.
- Strong experience with CI/CD and DevOps practices.
- Experience with GitHub Actions and Jenkins.
- Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
More about this job
Responsibilities
The AI Platform Engineer at Astra North Infoteck will build CI/CD pipelines and reusable AI services, help application teams use DevOps tools, and run the platforms that deploy and monitor AI models.
Requirements
Candidates need strong software development skills in a language such as Python, Java or TypeScript, plus Docker or Kubernetes, GitHub Actions, Jenkins, Agile/Scrum, and knowledge of GenAI platforms, LLMOps and MLOps.
Skills
- GitHub Actions
- Jenkins
- Python
- TypeScript
- Groovy
- Docker
- Kubernetes
- CI/CD pipelines
- LLMOps
- MLOps
- Large language models
- GenAI platforms
- Model deployment
- Model monitoring
- Model versioning
- Model evaluation
- AI governance
- Java
- JavaScript
- C#
- C/C++
- System design patterns
- Agile
- Scrum
- DevOps best practices
Categories
- Technology
- Software
- Data & Analytics
Keywords
- AI platform engineer
- DevOps
- CI/CD
- LLMOps
- MLOps
- GenAI
- large language models
- GitHub Actions
- Jenkins
- Docker
- Kubernetes
- Python
- TypeScript
- Groovy
- Agile
- Scrum
- model deployment
- model monitoring
- AI governance
- platform engineering
Tools
- GitHub Actions
- Jenkins
- Docker
- Kubernetes
- Groovy