Senior Software Engineer, AI/ML Platform Specialist

2 weeks ago

Toronto, Ontario, Canada Autodesk Full time

Position Overview

We are seeking a highly skilled software engineer to develop our next-generation AI/ML platform used in the development of Autodesk's suite of products and services. The ideal candidate will have a strong background in software development and engineering, with a focus on AI/ML technologies.

Responsibilities

  • Innovative System Design: Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development lifecycle.
  • Automation and Streamlining: Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness.
  • Workflow Automation: Develop comprehensive systems to automate and optimize laborious processes, integrating them seamlessly into our platform to streamline operations.
  • ML Solution Deployment: Develop tools for building and deploying ML artifacts in production environments, facilitating a smooth transition from development to deployment.
  • Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing, building large-scale data stores for ML artifacts.
  • Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users.
  • Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment.
  • Architectural Leadership: Take ownership of critical components of the platform, providing architectural direction, and contributing to the overall success of the AI/ML Platform.

Minimum Qualifications

  • Education: MS in Computer Science, or equivalent practical experience.
  • Experience: Over 8 years of experience in software development and engineering, with a solid record of delivering production systems and services.
  • Expertise: Expertise in programming languages such as Python, Java, Go, scripting languages, and SQL.
  • Problem-Solving Skills: Demonstrated created problem-solving skills with the ability to break down problems into manageable components.
  • Cloud Technologies: In-depth experience with Amazon AWS (Amazon Web Services) or Azure cloud technologies.
  • Scalable System Design: Excellent track record in scalable system design and distributed software architecture.
  • Big Data Technologies: In-depth experience working with big data technologies, including NoSQL, Hadoop, Spark, Hive, and data pipelines.
  • Data Platforms: Strong expertise in data platforms, encompassing the design and implementation of scalable and efficient data storage, retrieval, and processing systems.
  • Communication Skills: Excellent communication and collaboration skills, fostering teamwork and effective information exchange.
  • Agile Methodologies: Familiarity with agile development methodologies, including CI/CD & test-driven development.
  • Cloud Data Processing: Working knowledge with cloud data processing, training, deployment, or operations, such as Snowflake or Databricks.

Preferred Qualifications

  • ML Deployment: Exposure to deploying ML-enabled projects and solutions to production environments.
  • ML Operations: Familiarity with Machine Learning Operations practices.
  • Large Language Models: Exposure to open-source Large Language Models on Hugging Face like Llama & Mixstral.
  • ML Libraries: Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn.
  • Statistical Analysis: Exposure to statistical analysis.
  • Data Scientist Collaboration: Past collaboration with data scientists and researchers.

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