Columbus Sr ai/ml software Jobs – 2 Openings This Week

Data Solutions Architect
CorGTA —Ontario
- Up to $80 an hour
- Remote
- Machine learning
- Software development
- Communication skills
17h
Director of IT
Cottage Dream Vacations —Whitby, ON
- $100,000–$110,000 a year
- Hospitality
- Azure
- Computer Science
- Paid time off
10d

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Principal Data Engineer
Tangerine Bank —Toronto, ON
Participates in the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision…
Data Solutions Architect
CorGTA —Ontario
Strong understanding of the end-to-end ML lifecycle: feature engineering, training, evaluation, deployment, monitoring, and governance.
Up to $80 an hour
17h

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Data Solutions Architect

CorGTA -
Ontario

Apply Now

Job details

Fixed term contract
Up to $80 an hour
17 hours ago

Qualifications

Software engineering
Kubernetes
Google Cloud Platform
Event-driven architecture
Machine learning
Distributed systems
Software development
Apache
Software development or architecture experience
BigQuery
Communication skills
Python

Full job description

Position: Data Solution Architect – GCP, Kubernetes & ML Platforms
Location: Remote (anywhere in Canada)
Structure: Contract, 6 months to start
Pay: Up to $80.00 p/h inc.

We have a great new opportunity to support one of our Consulting clients in a contract capacity!

Please see below for more information on the position and if interested apply with an updated resume aligned to the needs of the role.

—

Requirements:

Strong communication skills and ability to influence and guide senior engineering teams.
Proven experience designing and leading complex distributed systems (microservices and/or data-intensive systems).
Advanced expertise in Kubernetes, including architecture for large clusters and highly distributed workloads.
Strong experience with Google Cloud Platform (GCP) and common cloud architecture patterns.
Hands-on software engineering experience, including Python.
Experience with Apache Beam and/or Google Cloud Dataflow for distributed data processing.
Experience with Kubeflow Pipelines (DAG orchestration) and BigQuery integration.
Strong understanding of the end-to-end ML lifecycle: feature engineering, training, evaluation, deployment, monitoring, and governance.
Demonstrated ability to perform architecture and code reviews, and to define best practices that teams adopt.
Strong knowledge of Domain-Driven Design (DDD) and modern software architecture principles.

Nice-to-haves:

Production ML platform architecture experience with Vertex AI (Pipelines, custom training, Model Registry, endpoints, Model Monitoring).
Experience with GCP services such as Pub/Sub, Cloud Storage, IAM and associated design patterns.
Familiarity with event-driven architecture, streaming systems, and messaging patterns.
Background in platform modernization, large-scale data platforms, or cloud migration programs.
Prior experience in Staff/Principal Engineer or Architect roles with cross-team impact.

CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or its client partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

Apply Now

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