AI Solution Engineer
2 weeks ago
SGK is a global packaging and brand experience company. From idea to implementation, we deliver packaging solutions and brand experiences that give brands the freedom to speak louder, scale faster and grow stronger. We simplify marketing and amplify brands to deliver value. SGK is a Matthews International company.
Job Summary
We are seeking an experienced AI Solution Engineer to join our Production IT team as a core member of our AI Lab. In this pivotal role, you will develop innovative AI-powered POCs utilizing cloud-based applications on AWS, contributing your AI expertise to drive innovation across the company. You will translate business needs into advanced AI solutions that are technically robust, user-friendly, and secure.
Key Responsibilities
• Translate business needs into cloud architecture that safely and efficiently leverages foundational and open-source models
• Design, develop, and deploy scalable and secure applications on AWS
• Collaborate with cross-functional teams to gather requirements and create technical solutions
• Implement best practices for software development, including coding standards, testing, and deployment processes
• Assist in research and development of innovative AI models including large language models, image generation, video generation, and other bespoke solutions
• Create simple and intuitive user interfaces for AI-powered POCs, ensuring a user-friendly experience that effectively demonstrates model functionality
• Participate in the deployment of AI models, ensuring proper integration and monitoring in the production environment
• Optimize application performance, reliability, and cost-effectiveness
• Participate in code reviews and provide technical guidance to other developers
• Assist with special projects as needed
Requirements
• Knowledge and hands-on experience with multi-modal AI models
• Curiosity and passion for exploring AI potential, with strong knowledge of AWS Bedrock and SageMaker platforms
• Strong communication skills to distill complex topics
• Experience with Python and common AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers)
• Understanding of natural language processing techniques
• Experience in building user interfaces and collaborating with UI/UX designers
• Familiarity with MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines, model monitoring frameworks)
• Experience with Infrastructure as Code tools (Terraform, AWS CloudFormation)
• Proven experience in deploying, optimizing, and monitoring AI models in production environments
• Ability to discover, recommend, and integrate open-source AI models
• Understanding of data privacy, security regulations, and responsible AI practices
• Excellent verbal and written communication skills
• Solid understanding and application of mathematical concepts
• Collaborative mindset and desire to enhance human creativity
• Self-motivated with critical attention to detail, deadlines, and reporting
• Ability to work well autonomously and within a team in a fast-paced environment
• Ability to work overtime as necessary
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