MLOps / LLMOps Engineer (AI Platform & Deployment)
This is a remote position.
Vertex is looking for MLOps and LLMOps Engineers who can make AI systems reliable, observable, and scalable in production.
We are building a curated pool of senior AI engineers for upcoming roles with partner/ client companies. Selection into the pool is based on experience, technical depth, and demonstrated production impact.
Responsibilities
- Design and maintain ML and LLM deployment pipelines
- Build CI/CD workflows for models and inference services
- Implement monitoring for model performance, drift, and cost
- Optimize infrastructure for scalable training and inference
- Work with ML and product teams to support production AI
Requirements
Strong experience with cloud infrastructure and DevOps practices
- Experience deploying ML or LLM systems in production
- Familiarity with containerization and orchestration tools
- Experience with monitoring, logging, and reliability practices
- Production-first mindset for AI systems
Benefits
For this role, it's selection into the Vertex Talent pool based on experience, technical depth, and demonstrated production impact.
• An energised, upbeat environment that strongly fosters employee work-life balance.
• A work culture that rewards goal-oriented professionals who enjoy meeting challenges head-on.
• Amazing personal growth experience
• Working with a motivated and talented team.
• More importantly, an opportunity to meaningfully contribute to bringing cutting-edge Tech solutions to life
Apply Now
Apply Now
Vertex is looking for MLOps and LLMOps Engineers who can make AI systems reliable, observable, and scalable in production.
We are building a curated pool of senior AI engineers for upcoming roles with partner/ client companies. Selection into the pool is based on experience, technical depth, and demonstrated production impact.
Responsibilities
- Design and maintain ML and LLM deployment pipelines
- Build CI/CD workflows for models and inference services
- Implement monitoring for model performance, drift, and cost
- Optimize infrastructure for scalable training and inference
- Work with ML and product teams to support production AI
Requirements
Strong experience with cloud infrastructure and DevOps practices
- Experience deploying ML or LLM systems in production
- Familiarity with containerization and orchestration tools
- Experience with monitoring, logging, and reliability practices
- Production-first mindset for AI systems
Benefits
For this role, it's selection into the Vertex Talent pool based on experience, technical depth, and demonstrated production impact.
• An energised, upbeat environment that strongly fosters employee work-life balance.
• A work culture that rewards goal-oriented professionals who enjoy meeting challenges head-on.
• Amazing personal growth experience
• Working with a motivated and talented team.
• More importantly, an opportunity to meaningfully contribute to bringing cutting-edge Tech solutions to life
Apply Now
Apply Now