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Senior Machine Learning Developer

Autodesk, Inc.

Ontario

Remote

CAD 80,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Senior Machine Learning Developer who will be at the forefront of creating innovative AI solutions. This role involves developing and training advanced machine learning models that harness platform activities and industry insights to deliver personalized recommendations to users. You will work in a collaborative environment, utilizing big data and implementing best practices to optimize model performance. If you are passionate about pushing the boundaries of AI and enjoy working in dynamic teams, this is the perfect opportunity for you to make a significant impact in the tech landscape.

Qualifications

  • 3+ years of experience in machine learning design and deployment.
  • Strong background in API development and cloud services.

Responsibilities

  • Develop and train machine learning models and algorithms.
  • Monitor model health and performance, optimizing as needed.
  • Implement CI/CD pipelines for seamless model deployment.

Skills

Machine Learning
Data Mining
Natural Language Processing
API Development (REST)
Agile Development
Leadership
Problem Solving

Education

Bachelor's Degree in Computer Science
Master's Degree in a Related Field

Tools

AWS
CI/CD Pipelines
Java
Python

Job description

Senior Machine Learning Developer page is loaded

Senior Machine Learning Developer

Apply locations AMER - Canada - Ontario - Offsite/Home time type Full time posted on Posted Yesterday job requisition id 25WD86162

Job Requisition ID # 25WD86162

French job description to follow!/La description de poste en français se trouve plus bas!

Position Overview

Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As a Senior ML Developer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members’ platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.

Responsibilities

  • As a Senior Machine Learning Developer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our platform activities and industry trends to create personalized recommendations that are delivered to our customers at the optimal moment.
  • Work with BIG data, build scalable AI innovations.
  • Write production quality code and influence the next generation of Autodesk customer experience.
  • Test and Deploy Production Models: Automate ML model testing.
  • Implement and use CI/CD pipelines to ensure seamless model deployment.
  • Monitor Model Health and Performance: Define, implement, and continuously monitor health metrics for deployed models.
  • Manage Re-Training Pipelines: Take ownership of the re-training pipeline for deployed ML models, ensuring they are continuously updated and optimized for performance.
  • Optimize Performance and Efficiency: Identify opportunities to enhance model performance, reduce computational costs, and minimize latency. Implement best practices to achieve these goals.
  • Product Ownership: Adopt a full product ownership mindset, escalating issues when necessary and effectively presenting results and insights to stakeholders and leadership.

Minimum Qualifications

  • Bachelor's or master's degree in computer science, a related technical field, or equivalent practical experience.
  • 3+ years of hands-on experience in machine learning design, development and deployment.
  • 3+ years of hands-on experience with data mining, and information retrieval or natural language processing.
  • Hands-on experience in online machine learning model deployment in a cloud service such as AWS.
  • Strong background in API development (REST) with experience in designing and implementing robust solutions.
  • Expert-level proficiency in programming languages such as Java, Python, etc.
  • Proven track record of leading fast-paced engineering teams to tackle large-scale AI problems.
  • Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations.
  • Experienced in Agile development environments, with a proven ability to adapt to dynamic team structures.
  • Skilled at collaborating with distributed teams across various geographies and time zones.
  • Proven leadership in incident response, including driving root cause analysis and implementing preventive measures.
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