Requirements
Must have:
- Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Proven experience in software engineering with a focus on automation and AI applications - Hands-on expertise with AWS Bedrock, AWS Quicksuite, and AWS SageMaker - Strong programming skills in Python, Java, or similar languages commonly used for AI and automation - Experience in designing and operationalizing machine learning models in a production environment - Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting - Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders - Familiarity with airline operations or network control systems - Knowledge of DevOps practices and infrastructure as code - Experience with cloud security and data governance
Responsibilities:
- Design, develop, and implement automation solutions and AI-driven applications to optimize network control processes - Utilize AWS Bedrock, AWS Quicksuite, and AWS SageMaker to build, deploy, and maintain scalable machine learning and automation pipelines - Collaborate with cross-functional teams, including operations, data science, and product, to define requirements and deliver robust solutions - Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability and performance - Stay abreast of new AWS features and emerging technologies in automation and AI, applying best practices to drive continuous improvement
Company:
We are seeking a Tech Lead for AWS Connect AI based in Luton, UK, to join our dynamic team on a hybrid work model. This 6-month role offers an opportunity to design and implement innovative solutions that optimize our network control processes. You will collaborate closely with cross-functional teams and will have the chance to work with cutting-edge AWS technologies. We provide a supportive environment that fosters continuous learning and improvement.