Job Title

25WD92507, Senior Machine Learning Developer French translation to follow! / Traduction franaise suivre! Position Overview We are transforming how utilities manage one of the worlds 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. Were also reimagining how the operational workforce of the 21st century interacts with critical infrastructure building intelligent systems that shape the future. Were 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. Youll 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., 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 Bachelors degree or Masters 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 25WD92507, Dveloppeur senior en apprentissage automatique Aperu du poste Nous transformons la manire dont les services publics grent l''''une des ressources les plus prcieuses au monde : l''''eau. Notre plateforme base sur l''''IA permet aux services publics de l''''eau de prendre des dcisions plus intelligentes et en temps rel pour des processus critiques tels que la prvision de la demande et les dbordements d''''gouts. En tirant parti de l''''apprentissage automatique et de l''''automatisation avancs, nous aidons les services publics rduire leurs cots, amliorer leur fiabilit et minimiser les risques pour la scurit publique. Nous rinventons galement la manire dont les quipes oprationnelles du XXIe sicle interagissent avec les infrastructures critiques, en crant des systmes intelligents qui faonnent l''''avenir. Nous recherchons des innovateurs motivs par l''''impact, passionns par l''''application de l''''apprentissage automatique et du gnie logiciel pour rsoudre des dfis concrets. En tant que dveloppeur en apprentissage automatique, vous intgrerez et optimiserez des solutions d''''IA qui amliorent la prise de dcision oprationnelle pour des infrastructures hydrauliques reprsentant des milliards de dollars. Vous travaillerez sur des systmes critiques l''''aide de technologies cloud de pointe et de cadres d''''apprentissage automatique dans un environnement agile. Responsabilits Mettre en uvre, intgrer et optimiser des modles d''''IA pour l''''analyse prdictive, la prise de dcision oprationnelle et la dtection d''''anomalies au sein des systmes de production Construire des pipelines et des API d''''apprentissage automatique volutifs et bass sur le cloud l''''aide de Python, FastAPI et des services AWS (par exemple, SageMaker, Lambda) Collaborer sur le cycle de vie complet du ML : ingestion de donnes, ingnierie des fonctionnalits, valuation des modles et dploiement. Travailler avec des ensembles de donnes volumineux et complexes (y compris des sries chronologiques et des donnes de capteurs) afin d''''en extraire des informations exploitables. Assurer l''''intgration transparente des composants d''''IA dans notre plateforme SaaS avec une fiabilit et des performances leves. Concevoir et mettre en uvre des flux de travail agentiques qui permettent la prise de dcision autonome et l''''orchestration de tches pilotes par l''''IA. Contribuer l''''architecture backend, la conception d''''algorithmes et aux meilleures pratiques en matire d''''ingnierie logicielle Mettre en uvre des stratgies de test robustes (unit, intgration, performance) et des pipelines CI/CD pour les systmes de production Rester la pointe des technologies ML mergentes et contribuer des projets open source Qualifications minimales Licence ou master en informatique, ingnierie, science des donnes ou dans un domaine connexe (ou exprience quivalente) 3 5 ans d''''exprience minimum dans le domaine de l''''apprentissage automatique et du dveloppement de logiciels pour les systmes de production Matrise approfondie de Python et des bibliothques d''''apprentissage automatique (par exemple, scikit-learn, TensorFlow, PyTorch) Exprience des services d''''apprentissage automatique bass sur le cloud (AWS SageMaker de prfrence) Solide comprhension des structures de donnes, des algorithmes et des principes de conception de logiciels Connaissance des bases de donnes SQL/NoSQL et du traitement de jeux de donnes grande chelle Exprience dans la cration et le dploiement d''''API et de microservices Connaissance des pipelines CI/CD et du contrle de version (Git) Excellentes comptences en communication et en collaboration Le candidat idal Exprience dans le domaine des prvisions de sries chronologiques, des algorithmes d''''optimisation ou de l''''apprentissage par renforcement Connaissance des systmes distribus et de la conteneurisation (Docker) Connaissance du protocole MCP (Model Context Protocol) pour l''''intgration de systmes d''''IA Exprience pratique des applications SaaS multi-locataires About Autodesk Welcome to Autodesk! Amazing things are created every day with our software from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk its at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When youre an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesks competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $106,500 and $156,200. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr