Specialist Solutions Architect - Data Scientist / ML Engineer (Financial Services)

TL;DR

Specialist Solutions Architect (Data Science/ML Engineer): Architecting and optimizing production-grade ML applications and GenAI solutions on the hirify.global Data Intelligence Platform with an accent on end-to-end ML pipelines, MLOps, and cloud-native integrations. Focus on defining priorities for product roadmap, building and scaling data science workloads, and serving as a trusted technical advisor for GenAI.

Location: Remote from Georgia, Illinois, New York, North Carolina, or Texas, with up to 30% travel required.

Salary: $180,000–$247,500 USD

Company

hirify.global is a data and AI company providing a unified Data Intelligence Platform to over 10,000 organizations worldwide.

What you will do

• Architect production-level ML workloads, including end-to-end ML pipelines, MLOps, and cloud-native service integrations.
• Provide advanced technical support to Solution Architects during the technical sale of ML features.
• Collaborate cross-functionally to represent customer needs and influence the product roadmap.
• Build, scale, and optimize customer data science workloads, applying best-in-class MLOps.
• Serve as a trusted technical advisor for customers developing GenAI solutions, such as RAG architectures.

Requirements

• English: B2 required.
• Must be located in Georgia, Illinois, New York, North Carolina, or Texas and be able to travel up to 30%.
• 5+ years of hands-on industry ML experience as an ML Engineer (building production-grade cloud infrastructure) or Data Scientist (experience with NLP, vector databases, LLMs, HuggingFace, Langchain, OpenAI).
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating technical concepts to diverse audiences.

Nice to have

• 2+ years customer-facing experience in a pre-sales or post-sales role.
• Experience working with Apache Spark to process large-scale distributed datasets.

Culture & Benefits

• Comprehensive benefits and perks tailored to employee needs.
• Commitment to fostering a diverse and inclusive culture.
• Opportunity to work with cutting-edge technologies in GenAI, MLOps, and ML.
• Emphasis on collaboration, life-long learning, and driving business value through ML.