Senior Specialist Solutions Architect DSMLAIGenAI

London - UK

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

Req: FEQ127R163

Location: London

Skills: Data Science Machine Learning AI LLM GenAI

As a Senior Specialist Solutions Architect (Srv SSA) - ML Engineering you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI LLMOps and ML while expanding your impact through mentorship and establishing yourself as an ML expert.

The impact you will have:

Architect production-level ML workloads for customers using our unified platform including end-to-end ML pipelines training/inference optimisation integration with cloud-native services and MLOps
Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering training tracking serving to model monitoring all within a single platform and participating in the larger ML SME community in Databricks
Collaborate with the product and engineering teams to represent the voice of the customer define priorities and influence the product roadmap helping with the adoption of Databricks ML offerings
Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
Serve as the trusted technical advisor for customers developing GenAI solutions such as RAG architectures on enterprise knowledge repos querying structured data with natural language content generation and monitoring

What we look for:

5 years of experience in a customer-facing technical role. Pre-sales or post-sales experience working with external clients across a variety of industry markets

Data Science/ML Skills:

5 years of hands-on industry ML experience in at least one of the following:

ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications including drift monitoring
Data Scientist: Experience with the latest techniques in natural language processing including vector databases fine-tuning LLMs and deploying LLMs with tools such as HuggingFace Langchain and OpenAI

Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc.) or equivalent practical experience
Experience communicating and teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration life-long learning and driving our values through ML
Preferred 2 years customer-facing experience in a pre-sales or post-sales role
Preferred Experience working with Apache Spark to process large-scale distributed datasets
Can meet expectations for technical training and role-specific outcomes within 3 months of hire
Can travel up to 30% when needed

Required Experience:

Senior IC

Req: FEQ127R163Location: LondonSkills: Data Science Machine Learning AI LLM GenAIAs a Senior Specialist Solutions Architect (Srv SSA) - ML Engineering you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architec...