MLOps Engineer - Machine Learning Operations & AI Infrastructure (34639)

Remote • Posted 10 hours ago • Updated 10 hours ago

Contract W2

Remote

Myticas LLC

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Job Details

Skills

Data Science
Training
Research
Automated Testing
Management
Storage
Scalability
Workflow
Lifecycle Management
Computer Science
Software Engineering
DevOps
Python
Java
TensorFlow
PyTorch
scikit-learn
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Orchestration
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Communication
Collaboration
Machine Learning Operations (ML Ops)
Meta-data Management
Cloud Computing
Regulatory Compliance
Artificial Intelligence
Machine Learning (ML)
Telecommunications
Computer Networking

Summary

We are seeking a skilled MLOps Engineer to support the full lifecycle of machine learning and AI solutions in a large-scale, enterprise telecommunications environment. You will design, build, deploy, and automate reliable and scalable ML workflows across cloud and on-premises platforms, enabling data science and AI teams to deliver production-ready models efficiently. This role blends machine learning engineering, DevOps practices, and infrastructure expertise to operationalize AI solutions at scale.

Key Responsibilities

Design and maintain end-to-end MLOps pipelines supporting model training, validation, deployment, monitoring, and automated retraining.
Collaborate with data scientists, AI developers, and software engineering teams to transition models from research to production.
Implement CI/CD pipelines for machine learning workflows, including automated testing and artifact management.
Manage model versioning, experiment tracking, and governance to ensure reproducibility and auditability.
Deploy and manage scalable model serving infrastructure using containerization and orchestration tools.
Monitor model performance, detect drift, and implement alerting and retraining strategies.
Optimize compute and storage infrastructure for performance, scalability, and cost efficiency.
Document workflows, standards, and best practices related to ML lifecycle management.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
3+ years of experience in MLOps, DevOps, or ML Engineering roles.
Strong programming skills in Python; familiarity with Java or similar languages is an asset.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Deep understanding of CI/CD, automation tools, and infrastructure-as-code concepts.
Experience with Docker, Kubernetes, and container orchestration.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience building and maintaining production ML services and pipelines.
Strong communication and collaboration skills.

Preferred Qualifications

Experience with MLOps and experiment-tracking tools such as MLflow, Kubeflow, Airflow, or DVC.
Knowledge of feature stores, metadata management, and model governance frameworks.
Familiarity with hybrid cloud and on-prem deployment environments.
Understanding of security, compliance, and performance considerations for AI systems in enterprise settings.
Experience supporting AI/ML workloads in telecommunications, networking, or other large-scale distributed systems.

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: SPRPV5PJSY
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..

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