Senior ML Engineer — Water Systems AI

Autodesk; Toronto; Hybrid; 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

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.