Specialist Solutions Architect (AI)

TL;DR

Specialist Solutions Architect (AI): Guides customers in architecting production-grade ML applications on hirify.global, aligning their technical roadmap with the evolving hirify.global Data Intelligence Platform with an accent on end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services and MLOps. Focus on serving as the trusted technical advisor for customers developing GenAI solutions.

Location: London

Company

hirify.global is the data and AI company.

What you will do

• 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 Engineers 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 hirify.global.
• 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 hirify.global’ 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.

Requirements

• 5+ years of experience in a customer-facing technical role.
• 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
• Can travel up to 30% when needed

Culture & Benefits

• Comprehensive benefits and perks.
• Fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.