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Tech Stack
Tools & technologiesAzureDockerKubernetes
About the role
Key responsibilities & impact- Design enterprise MLOps and LLMOps architecture
- Build deployment strategies for AI and LLM solutions
- Define model lifecycle management processes
- Implement monitoring, observability, and evaluation frameworks
- Design CI/CD pipelines for machine learning workloads
- Collaborate with AI researchers, platform engineers, and DevOps teams
- Support AI governance and security requirements
- Advise client stakeholders on operational AI best practices
Requirements
What you’ll need- 7+ years of experience in Machine Learning Engineering or MLOps
- 3+ years designing production-grade MLOps platforms
- Experience with LLM deployment and operationalization
- Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, SageMaker or similar platforms
- Experience deploying GenAI applications in enterprise environments
- Knowledge of RAG architectures, vector databases, model evaluation, and prompt management
- Experience with Kubernetes, Docker, CI/CD pipelines
- Familiarity with GPU infrastructure
- Strong understanding of AI governance and model lifecycle management
- Upper-Intermediate or higher level of English
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account ELEKS Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1991 🏢 Enterprise ☁️ SaaS 🤖 Artificial Intelligence Enterprise
- SaaS
- Artificial Intelligence ELEKS is a trusted partner for software engineering and technology consulting services, providing end-to-end solutions to help businesses achieve their software vision. They offer a wide range of services, including application development, cloud migration, AI consulting, and cybersecurity. ELEKS specializes in data strategy and intelligent automation to drive business growth and efficiency. They cater to various industries by delivering custom software tailored to sectors such as fintech, healthcare, energy, and more. With over 30 years of experience and a global presence, ELEKS is dedicated to innovation and ensuring seamless software delivery for their clients. MLOps/LLMOps Architect Job not on LinkedIn 🔥 16 minutes ago 🏢🏡 Alberta – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 Machine Learning Engineer Azure Docker Kubernetes Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design enterprise MLOps and LLMOps architecture
- Build deployment strategies for AI and LLM solutions
- Define model lifecycle management processes
- Implement monitoring, observability, and evaluation frameworks
- Design CI/CD pipelines for machine learning workloads
- Collaborate with AI researchers, platform engineers, and DevOps teams
- Support AI governance and security requirements
- Advise client stakeholders on operational AI best practices 🎯 Requirements
- 7+ years of experience in Machine Learning Engineering or MLOps
- 3+ years designing production-grade MLOps platforms
- Experience with LLM deployment and operationalization
- Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, SageMaker or similar platforms
- Experience deploying GenAI applications in enterprise environments
- Knowledge of RAG architectures, vector databases, model evaluation, and prompt management
- Experience with Kubernetes, Docker, CI/CD pipelines
- Familiarity with GPU infrastructure
- Strong understanding of AI governance and model lifecycle management
- Upper-Intermediate or higher level of English Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
Machine Learning EngineeringModel Lifecycle ManagementDeployment StrategiesMonitoring and Observability FrameworksGenAI Application DeploymentRAG ArchitecturesVector DatabasesPrompt ManagementKubernetesDocker
