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SNOWBUD LIMITED is a leader in manufacturing innovation, leveraging cutting-edge AI to optimise processes, reduce costs, and improve efficiency. We are seeking a Manufacturing AI Engineer to design and implement AI-driven solutions that enhance production, predictive maintenance, and supply chain optimisation.
Company Description
SNOWBUD LIMITED is a leader in manufacturing innovation, leveraging cutting-edge AI to optimise processes, reduce costs, and improve efficiency.
Key Responsibilities
1. Develop AI Models – Design and implement machine learning models for predictive maintenance, quality control, and process optimisation.
2. Integrate AI with IoT & Robotics – Work with industrial IoT (IIoT) devices and robotic systems to enhance automation and smart manufacturing.
3. Optimise Production Efficiency – Apply AI-driven analytics to identify bottlenecks and improve workflow efficiency.
4. Data Processing & Analysis – Collect and analyse manufacturing data to extract actionable insights.
5. AI Deployment & Maintenance – Deploy AI models into manufacturing environments and continuously improve their performance.
6. Collaborate with Cross-Functional Teams – Work with engineers, data scientists, and operations teams to implement AI solutions effectively.
7. Ensure AI Compliance & Ethics – Ensure AI solutions align with industry regulations and ethical standards.
Required Skills & Qualifications
1. Education: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Industrial Engineering, or a related field.
2. Technical Skills:
3. Proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
4. Experience with industrial IoT, robotics, and automation technologies.
5. Knowledge of computer vision for defect detection and quality control.
6. Strong understanding of manufacturing processes and supply chain operations.
7. Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
8. Experience: 3+ years in AI development, preferably in manufacturing or industrial automation.
9. Soft Skills: Problem-solving mindset, collaboration, and strong communication skills.
Preferred Qualifications
1. Experience with digital twins and AI-driven simulations.
2. Knowledge of reinforcement learning for process optimisation.
3. Familiarity with regulatory compliance in manufacturing AI (e.g., ISO 9001, Industry 4.0 standards).
Why Join Us?
1. Work on cutting-edge AI applications in smart manufacturing.
2. Collaborate with industry leaders in AI, robotics, and IoT.
3. Competitive salary and benefits, including career growth opportunities.
4. Opportunity to drive digital transformation in manufacturing.
How to Apply
1. Send your CV and cover letter to saumen@snowbud.com
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
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