Senior Specialist Solutions Engineer (AI/ML)Active
The opportunity
Location: London, United Kingdom - Hybrid
What you'll do
Lead the architectural design of production-grade ML workloads on our unified: platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services.
Provide advanced technical support to the Solution Architects during the: technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples.
Serve as the trusted technical advisor for customers developing GenAI: solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks.
Drive community growth and platform adoption through thought leadership: activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences.
Experienced, technical, customer-facing, and with a background in Data: Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment.
Pre-sales or post-sales experience working with external clients across a variety of industry markets
What they're looking for
- 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
- Hands-on experience working with Distributed Spark based systems.