AI Engineer (IS-AI-E)

Duties
Design, develop, and implement end-to-end Generative AI solutions using Microsoft Copilot and Amazon Bedrock, focusing on practical, commercially viable use cases
Collaborate with product owners, data scientists, and other engineers to define requirements, design model architectures, and integrate AI models into existing systems and workflows
Utilize and fine-tune pre-trained models available through Microsoft Copilot and Amazon Bedrock, as well as other relevant foundation models, for specific business needs
Develop and maintain robust data pipelines for training, fine-tuning, and deploying AI models
Implement best practices for model evaluation, monitoring, and optimization in a production environment
Ensure the scalability, reliability, and performance of deployed AI applications
Stay up-to-date with the latest advancements in Generative AI, Microsoft Copilot, Amazon Bedrock, and related technologies
Troubleshoot and resolve issues related to model performance, deployment, and integration
Contribute to the development of our internal AI/ML MLOps practices and standards
Communicate technical concepts and results effectively to both technical and non-technical stakeholders

Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Proven experience (3+ years) in developing and deploying AI/ML models in a commercial environment
Hands-on experience with Generative AI concepts, models (e.g., LLMs, transformers), and their applications
Demonstrated experience in building and implementing solutions using Microsoft Copilot and/or Amazon Bedrock
Proficiency in programming languages commonly used in AI development (e.g., Python)
Experience with cloud platforms (Azure and/or AWS) and their AI/ML services
Solid understanding of the MLOps lifecycle and experience deploying models to production
Experience with API development and integration.
Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills
Familiarity with other Generative AI frameworks and libraries (e.g., Hugging Face, TensorFlow, PyTorch) would be an advantage