remote
Senior AI Engineer - Grafana AI/ML
AI Engineer
Lead the design and deployment of advanced AI/ML solutions across cloud platforms, leveraging AWS, Azure, GCP, Docker, and GenAI to power Grafana’s next‑generation analytics capabilities.
About the role
Key Responsibilities
- Architect and implement scalable AI/ML pipelines on AWS, Azure, and GCP, ensuring high availability and performance.
- Develop containerized models with Docker, orchestrating deployments via Kubernetes or similar platforms.
- Integrate GenAI technologies to enhance data visualization and predictive analytics within Grafana.
- Collaborate with data scientists and product teams to translate business requirements into robust AI solutions.
- Monitor model performance, conduct A/B testing, and iterate on models for continuous improvement.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of production deployments.
- Proficiency in cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Hands‑on experience with GenAI frameworks and large language models.
- Strong programming skills in Python and familiarity with ML libraries such as TensorFlow or PyTorch.
- Excellent problem‑solving abilities and a collaborative mindset.
Skills
awsazuredockergcpmachine learning