AI Engineer

NOTICE: Preference to candidates located in Toronto, Montreal, San Francisco

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.

Main 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.

Requirements

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.

Benefits

Why Join Us?

• Be part of a fast-growing team creating transformative solutions for manufacturing.
• Work on cutting-edge AI and MLOps tools with real-world impact.
• Enjoy a collaborative and supportive work environment.
• Opportunities for professional growth and career advancement.