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AI Engineer
Maneva
Toronto
Teletrabalho
CAD 125.000 - 150.000
Tempo integral
Há 24 dias

Resumo da oferta

A dynamic AI startup is seeking an AI Engineer to develop and train vision-based applications. This role requires a strong background in MLOps and computer vision, along with proficiency in Python and Linux. Ideal candidates are proactive problem solvers who thrive in hands-on environments. Join us to drive innovation in manufacturing with cutting-edge AI solutions.

Serviços

Competitive salary
Equity participation
Comprehensive health coverage
Flexible PTO
Remote-first culture

Qualificações

  • Experience in MLOps, AI/ML model development or related role.
  • Hands-on experience with computer vision applications.
  • Strong problem-solving and proactive approach.

Responsabilidades

  • Develop and train vision-based AI applications.
  • Monitor and optimize performance of deployed models.
  • Collaborate with cross-functional teams to align AI applications.

Conhecimentos

MLOps experience
Computer vision expertise
Proficiency in Python
Familiarity with cloud platforms
Strong problem-solving abilities

Formação académica

Bachelor’s or Master’s in Computer Science, ML, or related field

Ferramentas

Docker
Linux
Nvidia-based environments (CUDA, TensorRT)
ML libraries (PyTorch, Tensorflow, Keras)
Descrição da oferta de emprego
Overview

About Maneva

Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

Position Overview

We are seeking an AI Engineer to join our dynamic team. This role focuses on organizing and training new vision models for tasks such as classification, object detection, segmentation, setting up and integrating MLOps tools, monitoring model performance, and maintaining deployed models. The ideal candidate is passionate about bridging AI and software with impactful real-world use cases and thrives in a hands-on environment, and demonstrates eagerness to learn and excel in their role and beyond.

Responsibilities
  • Develop and train vision-based AI applications for manufacturing, including classification, object detection, and segmentation tasks.
  • Build and manage pipelines for deploying AI/ML models in production environments.
  • Set up and integrate new tools to streamline and support MLOps workflows.
  • Monitor and optimize the performance of deployed models, ensuring they meet operational requirements.
  • Debug, troubleshoot, and update AI models as needed to maintain high reliability and performance.
  • Collaborate with cross-functional teams to align AI applications with manufacturing requirements.
  • Leverage cloud platforms (AWS, Azure, GCP) for scalable training compute and deployment solutions.
  • Maintain and document processes to ensure reproducibility and operational excellence.
  • May occasionally require to travel to customer sites to support integration and deployment efforts.
Qualifications
  • Education:
    • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field.
    • Relevant certifications or coursework in MLOps or AI model development is a plus.
  • Experience:
    • Experience in MLOps, AI/ML model development, or a related role.
    • Hands-on experience with computer vision applications in real-world environments.
    • Experience in data curation and vision model training and finetuning
    • Experience working with manufacturing or industrial systems is a plus.
  • Technical Skills:
    • Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments (CUDA, TensorRT) is a must.
    • Familiarity with cloud platforms (AWS, Azure, GCP) for compute, storage, and AI services.
    • Experience with CI/CD pipelines for ML models.
    • Experience with MLOps tools.
    • Experience with ARM devices such as Jetson or Raspberry Pi is a plus.
    • Hands on experience training neural networks. Familiar with at least one of the following ML libraries: PyTorch, Tensorflow, Keras, SKlearn
    • Knowledge of monitoring tools for deployed models and managing their lifecycle.
  • Soft Skills:
    • Strong problem-solving abilities and a proactive approach to challenges.
    • Excellent project planning, communication and collaboration skills.
    • Experience in front-facing engagement with customers is a plus.
    • Ability to travel and hold a valid driver’s license is a plus.
Why Join Maneva?
  • Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems
  • Shape the future of project delivery by building scalable processes for AI system deployments
  • Work with world-class engineering talent while optimizing team performance and customer success
  • Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments
  • Lead strategic initiatives that directly impact company growth and customer satisfaction
  • Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing
Compensation & Benefits
  • Competitive salary commensurate with experience
  • Equity participation in a high-growth AI startup
  • Comprehensive health, dental, and vision coverage
  • Flexible PTO and professional development opportunities
  • Remote-first culture with modern collaboration tools
Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

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