Member of Technical Staff, Customer Engineering - Machine Learning (Bengaluru)

About AnyscaleAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleThe Customer Support Engineer will play a crucial role with our customers across Europe, the Middle East, and Africa (EMEA), specifically their post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. While located in Bangalore, the position is aligned to EMEA customer time zones and business hours.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.In this role, you’ll be able toResolve customer issues and help in their successful adoption of Anyscale platformBe a technical advisor, and internal champion for our key customersOwn customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolutionParticipate in our follow-the-sun customer support model to ensure continuity in resolving high priority ticketsKeep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolutionContribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patternsHabitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experienceBuild and maintain strong relationships with technical stakeholders within customer accountsQualifications2+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environmentStrong organizational skills and ability to manage multiple customer needs simultaneouslyExperience as a machine learning engineerExperience in training, fine-tuning and inference/serving of LLMsKnowledge in one or more of the major cloud platforms (AWS, GCP or Azure)Excellent communication and interpersonal skills.Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new thingsWillingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowingMust be available to our EMEA customers within their respective time zonesBonusExperience with RayKnowledge of MLOps platformsFamiliarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted. Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Wor ... (truncated, view full listing at source)