Job Title: Machine Learning Operations Developer — AI/ML Platform
About Autodesk
Autodesk is a leading software provider for creators, specializing in 3D design, engineering, manufacturing, and entertainment software. Our software enables customers worldwide to design and build the physical and virtual worlds.
Position Overview
We are seeking a MLOps Engineer for our AI/ML Platform team. This role is critical in operationalizing machine learning models and ensuring the efficiency of our next-generation AI/ML platform, which supports ML and generative AI solutions across Autodesk’s product suite.
Responsibilities
- Operational Efficiency: Drive excellence in AI/ML platform operations with MLOps best practices.
- Deployment Automation: Develop automated pipelines for deploying ML models seamlessly from development to production.
- Scalable Infrastructure: Collaborate to design and maintain scalable infrastructure for training, inference, and data processing.
- Monitoring and Logging: Build systems to monitor model performance and system health.
- Data Collaboration: Work with data engineers on data pipelines for training and validation.
- Model Versioning & Governance: Implement systems for version control and governance of ML models.
- Governance & Trust: Ensure compliance, data privacy, and ethical standards are met to foster trust.
- Security & Compliance: Enforce data security and platform compliance practices.
- Continuous Improvement: Seek automation and process enhancements.
- Troubleshooting: Diagnose and resolve operational issues and incidents.
Minimum Qualifications
- BS or MS in Computer Science or related field.
- 5+ years in DevOps and MLOps with deployment experience.
- Proficiency in Infrastructure as Code (e.g., Terraform, Ansible).
- Strong knowledge of containerization (Docker, Kubernetes).
- Experience setting up CI/CD pipelines for ML.
- Scripting skills in Python, Bash, etc.
- Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack).
- Understanding of security standards in MLOps.
- Excellent collaboration and problem-solving skills.
Preferred Qualifications
- Cloud platform experience, especially AWS or Azure.
- Knowledge of databases and data storage solutions.
- Experience with ML frameworks like TensorFlow or PyTorch.
- Familiarity with version control (Git) and project management tools (Jira).
- Agile methodology experience.
About Autodesk
Autodesk fosters innovation and creativity by providing tools to turn ideas into reality. We value a culture of belonging, where employees can thrive and make a meaningful impact.
Salary & Benefits
Competitive based on experience and location, including bonuses, stock, and benefits.
Diversity & Inclusion
We promote an inclusive environment and encourage diverse candidates to apply.
Internal Candidates
Existing contractors or consultants should apply internally.
Job Highlights
- Role: MLOps Engineer
- Focus: AI/ML Platform, Model Deployment, Cloud Infrastructure
- Key Skills: Docker, Kubernetes, Python, Terraform, Monitoring Tools
- Location: Global/Remote
- Industry: Software, AI, Machine Learning