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AI Engineer

Maneva specializes in AI-powered computer vision solutions for manufacturing and industrial applications.
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Manufacturing

Job Description

Maneva is seeking an experienced AI Engineer to join our team in developing and implementing cutting-edge computer vision solutions for manufacturing environments. This role combines deep technical expertise in AI/ML with practical industrial applications.

As our AI Engineer, you'll be responsible for the full lifecycle of machine learning models, from development to deployment and monitoring. You'll work with state-of-the-art computer vision applications, leveraging technologies like CUDA and TensorRT to optimize performance on Nvidia platforms.

The ideal candidate brings a strong foundation in machine learning, demonstrated through hands-on experience with model training, particularly in computer vision applications. You should be comfortable working with modern MLOps tools and practices, including CI/CD pipelines for ML models and monitoring solutions for deployed models.

Technical proficiency in Linux, Python, Docker, and Git is essential, as is experience with cloud platforms (AWS, Azure, GCP) for AI services. Familiarity with ARM devices like Jetson or Raspberry Pi is a plus, as is experience in manufacturing or industrial systems.

This remote position offers the opportunity to work on challenging problems at the intersection of AI and manufacturing, with locations available in Toronto, Montreal, and Chicago. You'll be part of a team pushing the boundaries of computer vision applications in industrial settings, while maintaining a focus on practical, deployable solutions.

The role requires excellent problem-solving abilities and strong communication skills, as you'll be collaborating with cross-functional teams and potentially traveling to client sites. If you're passionate about applying AI to real-world industrial challenges and have the technical expertise to back it up, we want to hear from you.

Last updated 3 days ago

Responsibilities For AI Engineer

  • Develop and deploy AI/ML models
  • Work with computer vision applications
  • Manage ML model lifecycles
  • Implement and maintain CI/CD pipelines
  • Collaborate with cross-functional teams
  • Monitor and optimize model performance

Requirements For AI Engineer

Python
Linux
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field
  • Experience in MLOps, AI/ML model development
  • Hands-on experience with computer vision applications in real-world environments
  • Experience in data curation and vision model training and finetuning
  • Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments (CUDA, TensorRT)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience with CI/CD pipelines for ML models
  • Experience with MLOps tools
  • Hands on experience training neural networks
  • Knowledge of monitoring tools for deployed models