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Senior Machine Learning Developer
Senior Machine Learning DeveloperAutodesk • Montreal (administrative region), QC, CA
Senior Machine Learning Developer

Senior Machine Learning Developer

Autodesk • Montreal (administrative region), QC, CA
1 day ago
Job type
  • Full-time
Job description

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.

Position Overview (English)

French translation to follow! / Traduction française à suivre!

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., SageMaker, 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, TensorFlow, PyTorch)
  • Experience with cloud-based ML services (AWS SageMaker preferred)
  • Solid understanding of data structures, algorithms, and software design principles
  • Familiarity with SQL / NoSQL 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
  • Version française

    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 automatique, vous intégrerez et optimiserez des solutions d'IA qui améliorent la prise de décision opérationnelle pour des infrastructures hydrauliques représentant des milliards de dollars. Vous travaillerez sur des systèmes critiques à l'aide de technologies cloud de pointe et de cadres d'apprentissage automatique dans un environnement agile.

    Responsabilités

  • Mettre en œuvre, intégrer et optimiser des modèles d'IA pour l'analyse prédictive, la prise de décision opérationnelle et la détection d'anomalies au sein des systèmes de production
  • Construire des pipelines et des API d'apprentissage automatique évolutifs et basés sur le cloud à l'aide de Python, FastAPI et des services AWS (par exemple, SageMaker, Lambda)
  • Collaborer sur le cycle de vie complet du ML : ingestion de données, ingénierie des fonctionnalités, évaluation des modèles et déploiement
  • Travailler avec des ensembles de données volumineux et complexes (y compris des séries chronologiques et des données de capteurs) afin d'en extraire des informations exploitables
  • Assurer l'intégration transparente des composants d'IA dans notre plateforme SaaS avec une fiabilité et des performances élevées
  • Concevoir et mettre en œuvre des flux de travail agentiques qui permettent la prise de décision autonome et l'orchestration de tâches pilotées par l'IA
  • Contribuer à l'architecture backend, à la conception d'algorithmes et aux meilleures pratiques en matière d'ingénierie logicielle
  • Mettre en œuvre des stratégies de test robustes (unité, intégration, performance) et des pipelines CI / CD pour les systèmes de production
  • Rester à la pointe des technologies ML émergentes et contribuer à des projets open source
  • Qualifications minimales

  • Licence ou master en informatique, ingénierie, science des données ou dans un domaine connexe (ou expérience équivalente)
  • 3 à 5 ans d'expérience minimum dans le domaine de l'apprentissage automatique et du développement de logiciels pour les systèmes de production
  • Maîtrise approfondie de Python et des bibliothèques d'apprentissage automatique (par exemple, scikit-learn, TensorFlow, PyTorch)
  • Expérience des services d'apprentissage automatique basés sur le cloud (AWS SageMaker de préférence)
  • Solide compréhension des structures de données, des algorithmes et des principes de conception de logiciels
  • Connaissance des bases de données SQL / NoSQL et du traitement de jeux de données à grande échelle
  • Expérience dans la création et le déploiement d'API et de microservices
  • Connaissance des pipelines CI / CD et du contrôle de version (Git)
  • Excellentes compétences en communication et en collaboration
  • Le candidat idéal

  • Expérience dans le domaine des prévisions de séries chronologiques, des algorithmes d'optimisation ou de l'apprentissage par renforcement
  • Connaissance des systèmes distribués et de la conteneurisation (Docker)
  • Connaissance du protocole MCP (Model Context Protocol) pour l'intégration de systèmes d'IA
  • Expérience pratique des applications SaaS multi-locataires
  • #J-18808-Ljbffr

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