AI Engineer

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.

Qualifications

• Education:
• Bachelors or Masters 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 drivers license is a plus.

Why Join Maneva

• Drive operational excellencein a fast-growing AI company transforming manufacturing through cutting-edge vision systems
• Shape the future of project deliveryby building scalable processes for AI system deployments
• Work with world-class engineering talentwhile optimizing team performance and customer success
• Gain exposure to cutting-edge Vision AI & IoT solutionsacross diverse manufacturing environments
• Lead strategic initiativesthat directly impact company growth and customer satisfaction
• Build expertisein 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