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 a Junior AI Engineer to join our dynamic team. This entry-level role is ideal for someone eager to learn and grow in AI applications for real-world manufacturing challenges. The position involves contributing to training vision models for tasks such as classification, object detection, and segmentation, assisting with MLOps workflows, and monitoring model performance. The ideal candidate is passionate about learning and applying AI technologies, thrives in hands-on environments, and is motivated to grow alongside an innovative team.

Main Responsibilities

• Assist in developing and training vision-based AI models, including tasks like classification, object detection, and segmentation.
• Collaborate on building and maintaining pipelines for deploying AI/ML models in production.
• Support the integration and use of MLOps tools to streamline workflows.
• Monitor deployed models, collect performance data, and suggest optimizations.
• Help troubleshoot and update AI models under guidance to ensure reliability and performance.
• Contribute to cross-functional discussions to align AI applications with manufacturing needs.
• Assist with cloud platform setups (AWS, Azure, GCP) for training and deployment under supervision.
• Document workflows and best practices for reproducibility and operational improvements.

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:
• Familiarity with computer vision or machine learning through academic projects, internships, or personal initiatives.
• Exposure to Python, Linux, and basic AI/ML libraries (e.g., PyTorch, TensorFlow, or Scikit-learn).
• Any experience with real-world AI applications or internships in industrial or manufacturing environments is a bonus.
• Technical Skills:
• Strong desire to learn and grow in the field of AI.
• Problem-solving mindset with attention to detail.
• Excellent communication and collaboration skills.
• Willingness to adapt and contribute in a fast-paced environment.
• Ability to travel and hold a valid driver’s license is a plus.
• 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.