Senior Machine Learning Engineer

Autodesk; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A global software company is seeking a Machine Learning Engineer to enhance operational decision-making in water utilities through AI solutions. The ideal candidate will have 3-5 years of experience in machine learning, strong Python skills, and familiarity with AWS services. Responsibilities include optimizing ML models and building scalable cloud-based pipelines. Join us in our mission to transform how utilities manage water resources.

Benefits

Competitive compensation package

Annual cash bonuses

Comprehensive benefits package

Qualifications

• 3-5+ years of experience in machine learning and software development for production systems.
• Strong proficiency in Python and relevant ML libraries.
• Experience with cloud-based ML services.

Responsibilities

• Implement and optimize AI models for predictive analytics and decision-making.
• Build scalable cloud-based ML pipelines and APIs using Python.
• Collaborate on the end-to-end ML lifecycle from data ingestion to model deployment.

Skills

Python

Machine Learning Libraries (scikit-learn, TensorFlow, PyTorch)

Cloud-based ML Services (AWS SageMaker)

Data Structures and Algorithms

SQL/NoSQL Databases

CI/CD Pipelines

API Development

Communication and Collaboration

Education

Bachelor's or Master's in Computer Science, Engineering, Data Science

Tools

Python

FastAPI

AWS

Docker

Job description

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 Engineer, 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., 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

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 – it’s 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 you’re 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 Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. 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

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