Senior Software Engineer

2 weeks ago

Pune, Maharashtra, India Autodesk Full time

Position Overview

We're seeking a seasoned Senior Software Engineer to join our AMP team, focusing on designing and implementing our AI/ML serving platform within a hybrid cloud architecture. This critical role involves architecting scalable, efficient systems for model serving and inference, ensuring seamless deployment and management across diverse environments. As a vital member of our engineering team, you'll contribute to shaping the future of our AI/ML capabilities, delivering solutions that drive value for our organization.

Responsibilities

  1. Design and Implement Scalable AI/ML Serving Systems: Develop scalable and efficient systems for serving AI/ML models, ensuring these systems can handle varying loads and perform with low latency across diverse environments.
  2. Hybrid Cloud Architecture Management: Architect and manage a hybrid cloud environment that utilizes both on-premises resources and multiple cloud platforms (e.g., AWS, Azure, GCP) to optimize performance, cost, and scalability.
  3. Model Deployment and Versioning: Oversee the deployment of AI/ML models into production, including the setup of CI/CD pipelines for model deployment and versioning, ensuring smooth and reliable model updates and rollbacks.
  4. 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.
  5. Security and Compliance: Ensure the AI/ML serving systems adhere to industry standards and regulatory requirements for data security and privacy, including the management of data encryption, access controls, and audit trails.
  6. 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.
  7. Research and Innovation: Stay informed about the latest developments in AI/ML technologies, cloud computing, and software engineering practices, exploring and integrating solutions that can enhance the capabilities and efficiency of the AI/ML serving platform.

Minimum Qualifications

  1. Educational Background: BS or MS in Computer Science, or equivalent practical experience.
  2. Experience: 5+ years of experience in software development and engineering, with a solid record of delivering production systems and services.
  3. Expertise in AI/ML Technologies: Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch) and familiarity with the lifecycle of AI/ML model development, from training to deployment.
  4. Proficiency in Programming Languages: Strong coding skills in languages commonly used in AI/ML and system development, such as Python.
  5. Experience with Cloud Technologies: Experience with designing and managing systems on hybrid cloud architectures, including working knowledge of cloud service providers like Azure.
  6. Knowledge of Containerization and Orchestration Tools: Familiarity with containerization technologies (e.g., Docker) and orchestration systems (e.g., Kubernetes), crucial for deploying and scaling applications in a cloud environment.
  7. Understanding of DevOps Practices: Knowledge of CI/CD pipelines, infrastructure as code, and other DevOps practices to ensure smooth deployment and operation of AI/ML systems.
  8. 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.

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