MLOps Consultant, Senior (33827)

Remote • Posted 10 hours ago • Updated 10 hours ago
Contract W2
On-site
Company Branding Image
Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

  • Banking
  • Software Engineering
  • Training
  • Testing
  • Workflow
  • Scalability
  • Collaboration
  • Data Science
  • Cloud Architecture
  • Quality Management
  • Orchestration
  • Amazon Web Services
  • Documentation
  • Machine Learning Operations (ML Ops)
  • DevOps
  • Data Engineering
  • FOCUS
  • Quality Assurance
  • Management
  • Shipping
  • Python
  • Lifecycle Management
  • Docker
  • Kubernetes
  • Continuous Delivery
  • GitLab
  • Continuous Integration
  • Jenkins
  • Generative Artificial Intelligence (AI)
  • LangChain
  • Use Cases
  • Cloud Computing
  • Amazon SageMaker
  • Google Cloud
  • Google Cloud Platform
  • Vertex
  • Artificial Intelligence
  • Microsoft Azure
  • Machine Learning (ML)
  • Communication
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Financial Services

Summary

Senior MLOps Consultant (Agentic AI Engineering Delivery)

Overview

Our client, a leading organization in the banking sector, is seeking a Senior MLOps Consultant with proven, hands-on experience building and deploying production-grade Agentic AI systems. This role is deeply technical, requiring strong software engineering and platform delivery expertise rather than QA or oversight. The ideal candidate has built and shipped complex ML/AI systems leveraging MLOps best practices and modern GenAI frameworks.

This consultant will be instrumental in designing, automating, and scaling ML and GenAI workloads within secure, enterprise-grade environments-combining MLOps engineering, Agentic AI development, and platform reliability into one cohesive delivery function.

Key Responsibilities

  • Design, implement, and optimize end-to-end MLOps pipelines for model training, testing, deployment, and monitoring.
  • Build, ship, and operationalize Agentic AI systems and large-scale ML workflows with a focus on automation, scalability, and reliability.
  • Develop and maintain robust platform engineering solutions to support high-performance ML/GenAI workloads.
  • Collaborate with cross-functional teams (Data Science, Engineering, Cloud Architecture) to deliver secure and high-quality systems.
  • Manage containerized AI workloads using Docker and Kubernetes for efficient orchestration and scaling.
  • Integrate ML pipelines into cloud and enterprise data ecosystems (AWS, Azure, or Google Cloud Platform).
  • Continuously improve system observability, model performance, and deployment automation.
  • Contribute to engineering best practices, reusable frameworks, and documentation to enable delivery excellence.
Required Skills & Experience
  • 7+ years of hands-on engineering experience across MLOps, DevOps, or Data Engineering with a strong focus on delivery and system build (not QA or management).
  • Proven track record building and shipping Agentic AI or ML systems in production environments.
  • Expert-level Python programming skills for production-grade system development.
  • Deep knowledge of ML lifecycle management, including model versioning, monitoring, and governance.
  • Strong expertise in Docker, Kubernetes, and related CI/CD tooling (GitLab CI, Jenkins, ArgoCD, etc.).
  • Experience implementing or extending GenAI frameworks (LangChain, Hugging Face, OpenAI APIs, etc.) for enterprise use cases.
  • Solid understanding of cloud-native ML platforms such as AWS SageMaker, Google Cloud Platform Vertex AI, or Azure ML.
  • Strong communication, analytical, and problem-solving abilities, with experience in financial services or secure enterprise environments preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: adtechil
  • Position Id: 7C7H2PHI2V
  • Posted 10 hours ago

Company Info

About Myticas LLC

Myticas Consulting is a proven industry leading IT Staffing and Recruitment organization, with physical locations in major North American cities including Ottawa Ontario, Chicago Illinois, and Cleveland Ohio.

Our large team of IT recruitment and sales professionals have over 50+ years of combined experience providing the highest quality of Telecommunication Engineering, ERP and IT Software Development resources, to both Public and Private sector enterprise level environments.

Here at Myticas, we strive to continually provide unmatched quality of IT resources, that prove to stand the test of time, and go above and beyond all project expectations and deliverables.

The "motto" at Myticas is not only to work with you, but to understand what success really looks like for your organization, and to deliver the IT staffing needs that matter most to increasing both the functionality and efficiency of your environment.

With our evolving expertise in Telecom, ERP, DW/BI and EAI resources, and a guaranteed replacement program for all our partners, the defined win-win scenario has never been presented in a more simple manner..

About_Company_OneAbout_Company_Two
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote or Edmonton, Alberta

Today

Easy Apply

Contract

Remote or Toronto, Ontario

Today

Easy Apply

Contract

Search all similar jobs