AI/ML Platform Architect

6 hours ago

Pune, Maharashtra, India Autodesk Full time

Overview

We are seeking an experienced Senior Software Engineer to join the AMP team, specializing in designing and implementing scalable AI/ML serving systems within a hybrid cloud architecture.

About Autodesk

Welcome to Autodesk, where amazing things are created every day with our software. From green buildings and clean cars to smart factories and big hit movies, we help innovators turn their ideas into reality.

As an Autodesker, you can be your whole self and do meaningful work that helps build a better future for all.

Job Summary

This role involves architecting efficient systems for model serving and inference, ensuring seamless deployment and management across diverse environments.

As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization.

Responsibilities

  • Serving Systems Design: Develop scalable and efficient systems for serving AI/ML models, handling varying loads and performing with low latency across diverse environments.
  • Hybrid Cloud Management: Architect and manage a hybrid cloud environment using both on-premises resources and multiple cloud platforms (AWS, Azure, GCP) to optimize performance, cost, and scalability.
  • Model Deployment and Versioning: Oversee the deployment of AI/ML models into production, including setup of CI/CD pipelines for model deployment and versioning, ensuring smooth and reliable model updates and rollbacks.
  • Performance Monitoring and Optimization: Implement monitoring tools and practices to track the performance of AI/ML models in production, identifying bottlenecks and optimizing system and model performance for better efficiency and reduced costs.
  • Security and Compliance: Ensure that AI/ML serving systems follow industry standards and regulatory requirements for data security and privacy, including management of data encryption, access controls, and audit trails.
  • Collaboration and Leadership: Work closely with AI/ML researchers, data engineers, and other partners to translate complex AI/ML models into production-ready systems, providing technical guidance throughout the project lifecycle.
  • Research and Innovation: Stay informed about the latest developments in AI/ML technologies, cloud computing, and software engineering practices, exploring and integrating solutions that enhance the capabilities and efficiency of the AI/ML serving platform.

Requirements

  • Educational Background: BS or MS in Computer Science or equivalent practical experience.
  • Experience: 5+ years of experience in software development and engineering, with a solid record of delivering production systems and services.
  • Ai/Ml Expertise: Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and familiarity with the lifecycle of AI/ML model development, from training to deployment.
  • Programming Languages: Strong coding skills in languages commonly used in AI/ML and system development, such as Python.
  • Cloud Technologies: Experience with designing and managing systems on hybrid cloud architectures, including working knowledge of cloud service providers like Azure.
  • Containerization and Orchestration: Familiarity with containerization technologies (Docker) and orchestration systems (Kubernetes), crucial for deploying and scaling applications in a cloud environment.
  • DevOps Practices: Knowledge of CI/CD pipelines, infrastructure as code, and other DevOps practices to ensure smooth deployment and operation of AI/ML systems.
  • System Performance Optimization: Deep understanding of performance metrics and latency optimization techniques, with the ability to diagnose, tune, and enhance the efficiency of serving systems.

Salary Information

The estimated salary for this position is $180,000 per year, depending on location and experience.

Benefits

We offer a competitive compensation package, including discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

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