Maneva

AI Engineer

Maneva

full-time

Posted on:

Origin:  • 🇨🇦 Canada

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformIoTKerasLinuxPythonPyTorchScikit-LearnTensorflow

About the role

  • 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

Requirements

  • 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 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
  • Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments (CUDA, TensorRT)
  • 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
  • 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