Kainos
Lead AI Engineer
Vaga remota de Lead AI Engineer com fit claro de localização do candidato.
Publicada21 de jun. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeMiddle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
IrlandaReino Unido
Resumo da vaga
Lead AI Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Essential Experience:
- Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions.
- Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
- Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions.
- Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.
- Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.
- Exposure to agile software development practices and experience working in agile teams.
- Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.
Desirable Experience:
- MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.
- Familiarity with Workday APIs, data structures, and integration patterns.
- Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).
- Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems.
- Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation.
Who you are:
- Determined – you’re flexible and overcome obstacles to get the job done to achieve personal and team goals.
- Creative – you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems
- Honest – always constructive when giving or receiving feedback, being transparent and truthful when dealing with others
- Respectful – you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with
- Cooperative – you share information, knowledge and experience, understanding the mutual benefits of team working.
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