Senior AI & MLOps Engineer

🕒 3 days ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 3 days.
• Jobs at this company usually fill in 152 days.
• No salary listed.

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Infoya

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Infoya is a technology consulting and engineering firm that partners with organizations to drive digital transformation. It provides application and platform engineering, cloud enablement, automation-first quality engineering and software testing, data analytics, and artificial intelligence solutions, alongside professional and packaged delivery models. Infoya takes a customer-centric, technology-agnostic approach to solve complex enterprise problems across sectors such as e-commerce, finance, government and healthcare.

📋 Description

• Deploy and manage Agentic AI/GenAI solutions across AWS, Azure and GCP, including private and hybrid cloud environments • Design and implement scalable, secure cloud architectures for AI applications • Build and manage CI/CD pipelines, containerization and deployment automation • Implement MLOps/LLMOps practices, AI monitoring, observability and performance optimization • Integrate AI platforms with enterprise applications, APIs, databases and authentication systems • Work directly with client cloud, infrastructure and security teams to manage deployments and resolve technical challenges • Own end-to-end technical implementation from POC to production go-live • Collaborate with internal AI product engineering teams to improve deployment efficiency and reliability

🎯 Requirements

• 7–12 years of overall IT experience • 4+ years in Cloud/DevOps/MLOps engineering • 2+ years of hands-on AI/GenAI application deployment or integration • Strong expertise in Agentic AI, GenAI, cloud engineering and MLOps/LLMOps • Hands-on expertise in at least two of AWS, Azure and GCP • Proficiency with LLMs, Agentic AI, RAG, Python, LangChain/LangGraph • Experience with Docker, Kubernetes, Terraform, Helm and CI/CD • Experience with MLflow, Vertex AI, Azure ML, SageMaker or equivalent tools • Experience with Prometheus, Grafana, OpenTelemetry or equivalent • Knowledge of IAM, RBAC, OAuth, cloud networking and secrets management • Proven experience deploying enterprise applications into production • Ability to independently manage client technical discussions and deployment challenges • Strong client communication, stakeholder management and problem-solving skills

🏖️ Benefits

• Remote work • Full-time employment

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