Databricks7 дней назад
Sr. Specialist Solutions Architect
Зарплата не указана
London
Обязанности
- 01Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services
- 02Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data
- 03Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges
- 04Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap
- 05Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons
Требования
- 0110+ years of hands-on industry DS/ML experience
- 02Focus on either ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance, or Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain)
- 03Hands-on experience working with Distributed Spark based systems
- 04Experience with data engineering concepts or a good understanding of data engineering concepts
- 05Pre-sales or post-sales experience working with external clients across a variety of industry markets
- 06Minimum of 5+ years of customer-facing experience would be preferred
- 07Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences
- 08Passion for lifelong learning, collaboration, and driving business value through AI
- 09Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience
- 10Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- 11Can travel up to 30% when needed
Условия
- 01Can travel up to 30% when needed