Senior AI/ML Engineer

Zinkworks; Edmonton; On-site; CAD 80,000 - 130,000; Full time

Job summary

An established industry player is on the lookout for a Senior AI/ML Engineer to spearhead the architecture of an innovative AI App platform. This role involves leading the development of machine learning models, integrating them into a user-friendly interface that allows even those with minimal ML experience to create powerful applications. You will work in a collaborative environment, driving the evolution of AI-driven solutions while contributing to best practices in ML development. Join a forward-thinking team dedicated to revolutionizing the telecom sector, where your expertise will play a crucial role in shaping the future of technology.

Benefits

Health Benefits

Retirement Plans

Performance Incentives

Inclusive Culture

Qualifications

• 5+ years in AI/ML engineering with a focus on product roles.
• Expertise in ML model lifecycle management and MLOps in GCP.

Responsibilities

• Architect and implement scalable ML components for no-code app design.
• Own the model lifecycle, ensuring robust data ingestion and preprocessing.

Skills

AI/ML Engineering

Python

MLOps

Model Lifecycle Management

Time-Series Forecasting

Regression

Classification

Automated ML Pipelines

Hyperparameter Tuning

Cloud-Native AI/ML

Tools

Google Cloud Platform (GCP)

Docker

CI/CD Pipelines

Vertex AI

BigQuery ML

AI Platform

AVRO

Kafka

Job description

Zinkworks is a global leader in innovation, headquartered in Athlone, Ireland, with three offices locations worldwide. We utilise the latest cutting-edge technologies to bring industry-leading expertise to our Telecommunication and Financial services clients. We are adept at developing custom innovations that streamline our clients’ workflows and improve operational efficiency. With a commitment to quality and customer satisfaction, we have earned a reputation as a trusted partner for businesses seeking reliable software services.

What we are looking for

We are seeking a Senior AI/ML Engineer to lead the architecture and implementation of an AI App platform’s ML core. You’ll be responsible for driving the development, integration, and lifecycle of machine learning models within this platform, enabling drag-and-drop AI/ML components, training pipelines, model management, and closed-loop automation support, allowing users with minimal ML experience to build powerful AI-driven rApps.

Responsibilities:

1. Architect and implement modular, scalable ML components (regression, classification, neural networks) for use in no-code rApp design.
2. Collaborate on the development of a drag-and-drop rApp design interface, ensuring seamless model configuration and training.
3. Integrate model training workflows with network PM counter data, KPIs, and transformations.
4. Own the model lifecycle: training, tuning, evaluation and validation etc.
5. Implement model versioning, training iteration history, and metadata tracking.
6. Ensuring robust, clean, and timely data ingestion and preprocessing.
7. Support the integration of models with closed-loop automation for rApps.
8. Contribute to establishing best practices in ML development (testing, monitoring, explainability).
9. Work cross-functionally with UX, backend and DevOps to expose ML power through intuitive interfaces.

Required Experience

Must-Have:

1. 5+ years in AI/ML engineering, preferably in a platform or product-focused role.
2. Proven experience with ML model lifecycle management, and MLOps (preferably in GCP).
3. Proven experience with automated ML pipelines, hyperparameter tuning, and model validation.
4. Strong background in time-series forecasting, regression, or classification.
5. Expert python skills and exposure to microservices and RESTful APIs.
6. Solid grasp of cloud-native AI/ML, ideally in Google Cloud Platform (GCP) using Vertex AI, BigQuery ML, AI Platform, etc.
7. Experience deploying models via containers (Docker) and working with CI/CD pipelines.

Nice-to-Have:

1. Experience with no-code or low-code ML platforms.
2. Familiarity with O-RAN standards, or telecom-grade PM/KPI systems.
3. Knowledge of AVRO, Kafka, and real-time data processing.
4. Experience integrating ML systems into monitoring and observability platforms.
5. Exposure to closed-loop automation use cases.

What We Offer

1. A key role in a company that’s a trailblazer in the telecom sector, offering significant opportunities for growth and leadership in marketing.
2. The chance to work with a team of forward-thinking professionals committed to establishing Zinkworks' position at the forefront of telecom innovations.
3. Competitive compensation, including health benefits, retirement plans, and performance incentives.
4. An inclusive culture that fosters innovation, collaboration, and excellence.