AI & Optimization Engineer in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI & Optimization Engineer in Canada.

This is an exciting opportunity to work at the intersection of artificial intelligence, optimization, and large-scale infrastructure operations within a globally distributed remote environment. In this role, you will help transform complex operational data into intelligent systems that drive automation, predictive insights, and efficiency improvements across high-performance environments. You will collaborate closely with engineering, data, and operational teams to design scalable AI solutions and optimize real-world systems using advanced machine learning and data modeling techniques. The position offers the chance to work on cutting-edge technologies involving time-series data, IoT-style telemetry, and production-grade AI deployment. Ideal for professionals passionate about innovation and applied AI, this role combines strategic thinking with hands-on technical execution in a fast-moving and highly collaborative setting.

• Define and execute AI and optimization strategies focused on improving operational efficiency and measurable business performance.
• Design and maintain scalable data models, schemas, and telemetry structures to support AI and machine learning initiatives.
• Develop, deploy, and optimize machine learning models for anomaly detection, predictive maintenance, automation, performance optimization, and operational forecasting.
• Collaborate with engineering teams to integrate AI capabilities into existing systems, workflows, APIs, and production environments.
• Continuously monitor and improve model performance, reliability, explainability, and scalability in live operational settings.
• Work closely with cross-functional stakeholders to translate operational challenges into data-driven solutions and actionable insights.
• Document architectures, modelling assumptions, and AI workflows clearly while promoting a data-driven and innovation-focused culture.
• Stay informed on emerging trends in AI, optimization, industrial analytics, and automation technologies.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or a related technical field.
• At least 3 years of experience in AI/ML engineering, applied optimization, data science, or related analytical roles.
• Strong expertise in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
• Proficiency in JavaScript or TypeScript within Node.js environments.
• Experience designing and managing large-scale, time-series–focused data architectures and pipelines.
• Solid understanding of optimization techniques, predictive modelling, anomaly detection, and industrial or telemetry-based AI systems.
• Familiarity with Docker and containerized deployment environments.
• Experience deploying, monitoring, and maintaining production AI systems, including handling model drift and changing operational conditions.
• Strong analytical thinking, problem-solving skills, and the ability to work independently in globally distributed remote teams.
• Excellent English communication skills with the ability to collaborate effectively across technical and non-technical stakeholders.

• 100% remote work environment with global collaboration opportunities.
• Opportunity to work on innovative AI and optimization projects with real-world operational impact.
• Exposure to cutting-edge technologies in machine learning, automation, infrastructure, and distributed systems.
• Fast-paced and highly collaborative international team culture.
• Career growth opportunities within a rapidly evolving and innovation-driven industry.
• Flexible and autonomous work environment that encourages creativity and ownership.
• Work alongside highly skilled professionals in engineering, AI, and infrastructure operations.