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Senior Machine Learning Developer

Job in Vancouver, BC, Canada
Listing for: Autodesk
Full Time position
Listed on 2026-02-02
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below

Position Overview

We are transforming how utilities manage one of the world’s most precious resources: water. Our AI-driven platform empowers water utilities to make smarter, real-time decisions for critical processes like demand forecasting and sewer overflows. By leveraging advanced machine learning and automation, we help utilities reduce costs, improve reliability, and minimize risks to public safety. We’re also reimagining how the operational workforce of the 21st century interacts with critical infrastructure - building intelligent systems that shape the future.

We’re looking for impact-driven innovators passionate about applying machine learning and software engineering to solve real-world challenges. As a Machine Learning Developer, you will integrate and optimize AI solutions that enhance operational decision-making for billions of dollars in water infrastructure. You’ll work on mission-critical systems using cutting-edge cloud technologies and ML frameworks in an agile environment.

Responsibilities

  • Implement, integrate, and optimize AI models for predictive analytics, operational decision-making, and anomaly detection within production systems

  • Build scalable, cloud-based ML pipelines and APIs using Python, FastAPI, and AWS services (e.g., Sage Maker, Lambda)

  • Collaborate on the end-to-end ML lifecycle: data ingestion, feature engineering, model evaluation, and deployment

  • Work with large, complex datasets (including time-series and sensor data) to extract actionable insights

  • Ensure seamless integration of AI components into our SaaS platform with high reliability and performance

  • Design and implement agentic workflows that enable autonomous decision-making and orchestration of AI-driven tasks

  • Contribute to backend architecture, algorithm design, and software engineering best practices

  • Implement robust testing strategies (unit, integration, performance) and CI/CD pipelines for production-grade systems

  • Stay ahead of emerging ML technologies and contribute to open-source projects

  • Minimum Qualifications

  • Bachelor’s degree or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)

  • 3-5+ years of experience in machine learning and software development for production systems

  • Strong proficiency in Python and ML libraries (e.g., scikit-learn, Tensor Flow, PyTorch)

  • Experience with cloud-based ML services (AWS Sage Maker preferred)

  • Solid understanding of data structures, algorithms, and software design principles

  • Familiarity with SQL/No

    SQL databases and handling large-scale datasets

  • Experience building and deploying APIs and microservices

  • Knowledge of CI/CD pipelines and version control (Git)

  • Excellent communication and collaboration skills

  • The Ideal Candidate

  • Experience with time-series forecasting, optimization algorithms, or reinforcement learning

  • Familiarity with distributed systems and containerization (Docker)

  • Knowledge of Model Context Protocol (MCP) for integrating AI systems

  • Practical experience with multi-tenant SaaS applications

  • ______________________________________________________________________________________________________________

    25WD92507, Développeur senior en apprentissage automatique

    Aperçu du poste

    Nous transformons la manière dont les services publics gèrent l'une des ressources les plus précieuses au monde : l'eau. Notre plateforme basée sur l'IA permet aux services publics de l'eau de prendre des décisions plus intelligentes et en temps réel pour des processus critiques tels que la prévision de la demande et les débordements d'égouts. En tirant parti de l'apprentissage automatique et de l'automatisation avancés, nous aidons les services publics à réduire leurs coûts, à améliorer leur fiabilité et à minimiser les risques pour la sécurité publique.

    Nous réinventons également la manière dont les équipes opérationnelles du XXIe siècle interagissent avec les infrastructures critiques, en créant des systèmes intelligents qui façonnent l'avenir. Nous recherchons des innovateurs motivés par l'impact, passionnés par l'application de l'apprentissage automatique et du génie logiciel pour résoudre des défis concrets. En tant que développeur en apprentissage…

    Position Requirements
    10+ Years work experience
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