Senior Machine Learning Operations Developer, Inference, AI/ML Platform

autodesk; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Autodesk is seeking a Senior MLOps Developer to operationalize ML models on our AI/ML Platform. You will collaborate with research and product teams to ensure efficient deployment, monitoring, and governance of ML workloads across design, construction, manufacturing, and media domains.

The role emphasizes building automated pipelines, scalable infrastructure, and robust observability, while upholding security and data privacy standards in a fast-paced environment.

Qualifications

• 5+ years of hands-on DevOps and MLOps experience deploying ML models in production.
• Strong Infrastructure as Code using Terraform or Ansible.
• Expertise with Docker and Kubernetes for ML workloads.
• Experience building CI/CD pipelines for ML projects.
• Python or Bash scripting for automation.
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK).
• Knowledge of security, data privacy, and compliance in MLOps.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Drive operational excellence of the AI/ML platform with MLOps practices.
• Design automated deployment pipelines from development to production.
• Build scalable infrastructure for training, inference, and data processing.
• Develop robust monitoring and logging for model and system health.
• Collaborate with data developers on data pipelines for training/validation.
• Implement model versioning and governance practices.
• Uphold security and privacy standards across the platform.
• Identify automation opportunities and optimize the MLOps lifecycle.
• Assist in incident response and system recovery.

Skills

DevOps

MLOps

CI/CD

Python scripting

Terraform

Ansible

Docker

Kubernetes

Monitoring

Security best practices

Education

BS or MS in Computer Science or related field

Tools

Terraform

Ansible

Docker

Kubernetes

CI/CD tooling

Git

Jira

Prometheus

Grafana

ELK Stack

Job description

Senior Machine Learning Operations Developer, Inference, AI/ML Platform

Position Overview

Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform used in the development of machine learning and generative AI solutions powering Autodesk's suite of products and services. You will collaborate with research and product engineering from various domains including design, construction, manufacturing, and media & entertainment to support platform operations.

Responsibilities

• Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices
• Design and implement automated deployment pipelines for machine learning models, ensuring seamless transitions from development to production
• Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing
• Develop and maintain robust monitoring and logging systems to track model performance, system health, and overall platform efficiency
• Work closely with data developers to ensure efficient data pipelines for model training and validation
• Implement version control systems for machine learning models and contribute to model governance practices
• Contribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards. Uphold data privacy and ethical considerations, fostering trust in our AI/ML solutions
• Enforce security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform securit
• Identify opportunities for process automation, optimization, and implement strategies to enhance the overall MLOps lifecycle
• Play a key role in identifying and resolving operational issues, contributing to incident response and system recovery

Minimum Qualifications

• BS or MS in Computer Science, or related field
• 5+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments
• Proficiency in implementing Infrastructure as Code practices using tools such as Terraform or Ansible
• Strong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads
• Demonstrated experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects
• Strong scripting skills in Python, Bash, or similar languages for automating operational processes
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance
• Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards
• Excellent collaboration and communication skills, working effectively with cross-functional teams including data developers, software developers, and researchers
• Proven ability to troubleshoot and resolve complex operational issues in a timely manner

Preferred Qualifications

• Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure
• Familiarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes
• Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes
• Previous experience with collaboration tools like Git for version control and Jira for project management
• Familiarity with Agile development methodologies and working in an iterative, collaborative environment

Développeur senior en opérations d'apprentissage automatique, inférence, plateforme IA/ML

Aperçu du poste

Autodesk, leader mondial des logiciels de conception 3D, d'ingénierie, de fabrication et de divertissement, recherche un développeur MLOps senior expérimenté pour rejoindre notre équipe chargée de la plateforme IA/ML. Ce poste est essentiel pour garantir la mise en œuvre fluide des modèles d'apprentissage automatique et l'efficacité globale de notre plateforme IA/ML de nouvelle génération, utilisée dans le développement de solutions d'apprentissage automatique et d'IA générative qui alimentent la suite de produits et services d'Autodesk. Vous collaborerez avec les équipes de recherche et d'ingénierie produit issues de divers domaines, notamment la conception, la construction, la fabrication, ainsi que les médias et le divertissement, afin de soutenir les opérations de la plateforme.

Responsabilités