Machine Learning Engineer

Role: Machine Learning Engineer

Location: Remote (Canada)

About the Role:

We’re looking for a Machine Learning Engineer to help productionize and scale ML models built by Data Scientists for a high-performance, consumer-facing platform. In this role, you’ll be responsible for building and maintaining robust ML pipelines, enabling real-time inference, and driving A/B testing, model versioning, and retraining workflows. You’ll collaborate closely with engineering, data, and product teams to ensure seamless integration of ML outputs into business systems and APIs.

This is a hands-on, production-focused role ideal for someone who thrives at the intersection of ML, DevOps, and cloud-native engineering.

Must-Have Skills:

• Proficient in Python with hands-on experience in TensorFlow, PyTorch, or Scikit-learn
• Experience with ML Ops tools like MLflow, SageMaker, or Vertex AI
• Solid understanding of Kubernetes and containerized deployment
• Bonus: Familiarity with streaming ML using tools like Kafka or Flink