About the Role
- The Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.
- Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.
Responsibilities
- Resolve customer issues and help in their successful adoption of Anyscale platform
- Be a technical advisor, and internal champion for our key customers
- Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution
- Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets
- Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution
- Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns
- Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience
- Build and maintain strong relationships with technical stakeholders within customer accounts
Requirements
- 7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment
- Strong organizational skills and ability to manage multiple customer needs simultaneously
- Proficient at developing data pipelines for training, fine-tuning and inference/serving of LLMs
- Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)
- Excellent communication and interpersonal skills.
- Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things
- Willingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowing
Qualifications
- Experience with Ray
- Knowledge of MLOps platforms
- Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
Benefits
$140,242 – $199,867