AI Engineer
Description For AI Engineer
Maneva, founded by an ex-Google Deepmind researcher, is revolutionizing manufacturing operations through cutting-edge AI solutions. We specialize in autonomous factory operation and optimization, delivering AI-powered actions and insights using existing vision systems and off-the-shelf hardware.
We're seeking an AI Engineer to join our dynamic team, focusing on vision model development and MLOps. The role involves training models for classification, object detection, and segmentation, while managing the complete MLOps lifecycle. You'll work with state-of-the-art AI technologies, implementing solutions that have direct impact on manufacturing efficiency and quality.
The ideal candidate combines strong technical skills in Python, Linux, and cloud platforms with practical experience in computer vision and MLOps. You'll be responsible for building and maintaining AI deployment pipelines, monitoring model performance, and ensuring operational excellence. The role offers opportunities to work with cutting-edge technology while solving real-world manufacturing challenges.
Join our collaborative team and be part of transforming manufacturing through AI innovation. You'll have the chance to grow professionally while working on impactful projects that bridge the gap between advanced AI technology and practical industrial applications. The position offers a balance of technical challenge and business impact, with opportunities to interact directly with customers and see your solutions make a difference in real-world manufacturing environments.
Responsibilities For AI Engineer
- 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
- Debug, troubleshoot, and update AI models
- Collaborate with cross-functional teams
- Leverage cloud platforms for scalable training compute and deployment solutions
- Maintain and document processes
- Travel to customer sites to support integration and deployment efforts
Requirements For AI Engineer
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or related field
- Experience in MLOps, AI/ML model development
- Hands-on experience with computer vision applications
- Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with CI/CD pipelines for ML models
- Experience with MLOps tools
- Hands-on experience training neural networks
- Strong problem-solving abilities
- Excellent project planning, communication and collaboration skills
Benefits For AI Engineer
- 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
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