Back to SearchSenior Generative AI Operations Engineer
Remote in Portugal
Generative AI Operations
& 4 others
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We are looking for a Senior Generative AI Operations Engineer to build and maintain scalable ML infrastructure enabling efficient AI deployment.
You will collaborate across disciplines to implement robust MLOps pipelines and infrastructure, helping data scientists and engineers scale ML workloads from prototype to production. Apply now to contribute to impactful AI services within the IT Chief Data Office.
Responsibilities
- Design scalable AI/ML workloads aligned with organizational goals
- Develop and maintain reproducible Machine Learning pipelines
- Deploy AI models to production using model serving infrastructure
- Implement observability frameworks for monitoring and logging AI services
- Define infrastructure requirements for MLOps pipelines and components
- Collaborate with infrastructure engineers to support implementation of infrastructure
- Mentor and coach team members to promote best practices and continuous improvement
- Coordinate with cross-functional teams including data scientists and engineers
- Optimize ML workloads for performance and scalability
- Ensure compliance with security and data privacy standards
- Evaluate new tools and technologies to enhance AI service delivery
- Document system architectures and processes for knowledge sharing
- Troubleshoot and resolve production issues related to AI services
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of experience in AI, Machine Learning, data engineering, software development, or cloud infrastructure
- Strong proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, or Scikit-learn
- Experience with model inference runtimes like vLLM, MLServe, or Torch Serve
- Proficiency in containerization and orchestration tools including Docker and Kubernetes
- Experience defining and implementing infrastructure requirements for ML pipelines
- Strong problem-solving skills and ability to work in agile, cross-functional teams
- Good communication and mentoring skills to support team development
- B2+ level English proficiency
Nice to have
- Experience with cloud platforms such as Azure, AWS, or Google Cloud
- Knowledge of Infrastructure as Code (IaC) practices
- Familiarity with experiment tracking systems and pipeline orchestration tools