Machine Learning Developer

Job Requisition ID #

24WD82788

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Position Overview

MLOps Developers will be responsible for deploying, maintaining, monitoring, integrating, and testing machine learning capabilities in production. You will partner with multi-disciplinary teams such as Machine Learning Engineering, Front-End Engineering, Infrastructure Engineering, Data Operations on coordinating delivery of customer-facing features. Your work will contribute to strategic initiatives such as optimization of digital conversion metrics and development of Autodesk Assistant, an LLM-driven chatbot intended to answer customer inquiries.

Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our work and knowledge of trends and techniques relevant to our areas. We encourage personal development and knowledge sharing.

Responsibilities

• Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments, ensuring scalability and reliability.
• Automation: Develop and maintain CI/CD pipelines to automate the deployment and testing of machine learning models.
• Monitoring and Maintenance: Implement monitoring solutions to track model performance and detect anomalies, ensuring models continue to deliver accurate results over time.
• Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning solutions into applications and services.
• Security: Ensure the security and compliance of machine learning models and data throughout their lifecycle.
• Documentation: Create and maintain comprehensive documentation for model deployment processes, CI/CD pipelines, and infrastructure setups.
• Platform Mindset: Partner with internal platform team on the following tasks.

Minimum Qualifications

• Technical Proficiency: Strong understanding of machine learning concepts and familiarity with frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Programming Skills: Proficiency in programming languages such as Python, R, or Java.
• DevOps Knowledge: Familiarity with DevOps practices and tools, including Docker, Kubernetes, Jenkins, and Git.
• Cloud Computing: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Pipelines: Proficiency in designing and implementing data pipelines using tools like Apache Airflow, Kubeflow, or MLflow.
• Best Practices: Strong understanding of software engineering best practices, including testing, code review, and documentation.
• Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.
• Relevant certifications are a plus.

Preferred Qualifications

• Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents).
• Experience deploying systems that use NLP or experience working with Conversational AI frameworks.
• Experience with managing infrastructure required for model training, testing, and deployment, including cloud services, databases, and container orchestration platforms.
• Experience with distributed computing frameworks like Apache Spark.
• Familiarity with feature stores and experiment tracking tools.
• Knowledge of data governance and ML model governance practices.
• Experience with A/B testing and statistical analysis.

About Autodesk

As a global leader in 3D design, engineering, and entertainment software, Autodesk helps people imagine, design, and create a better world. Autodesk accelerates better design through an unparalleled depth of experience and a broad portfolio of software, giving customers the power to solve their design, business, and environmental challenges. In addition to designers, architects, engineers, and media and entertainment professionals, Autodesk helps students, educators, and casual creators unlock their creative ideas through user-friendly applications.