AI/ML Architect – MWS

Unchain Data; Dubai; On-site; AED 350,000 - 550,000; Full time

Benefits offered by this job

Health & Prevention

Fitness & Wellness Programs

Competitive Compensation: fiat, BTC, 0

Relocation Support: UAE residency visa

Flexible Working

Global Team Meetups

Job summary

Unchain Data is seeking an AI/ML Architect to define the intelligence layer of Mintlayer Web Services. This role focuses on turning on-chain and off-chain Bitcoin UTXO data into actionable insights, enabling developers to run predictive models, risk scoring, and automated data labeling within scalable Go-based microservices.

You will design end-to-end AI architectures, engineer features from Mintlayer's network, oversee production deployments, and collaborate with the Rust Core team to optimize

Qualifications

• 4-5 years of professional experience in AI/ML engineering, with models taken from research to production.
• Strong proficiency in Python and a solid understanding of Go or C++.
• Experience with MLOps tools and cloud data processing (e.g., Spark, Ray, or specialized vector databases).
• Ability to handle complex, graph-based data structures like the UTXO model.

Responsibilities

• Architecture Design: design the end-to-end AI architecture for MWS, ensuring it can handle high-throughput blockchain data.
• Feature Engineering: identify and implement key data features from the Mintlayer network to power risk-scoring and liquidity models.
• Production Deployment: oversee the scaling of ML models within our Go-based microservices architecture.
• Collaboration: partner with the Rust Core team to ensure data indexing is optimized for machine learning consumption.
• Future-Proofing: stay ahead of RAG and agentic workflows to offer cutting-edge tools to MWS users.

Skills

Python

Go

C++

MLOps

Cloud data processing

Graph data

Tools

Spark

Ray

Vector databases

Job description

About The Role

We are looking for an AI/ML Architect to define the intelligence layer of Mintlayer Web Services. MWS is not just about hosting; it is about providing actionable insights from Bitcoin's UTXO data. You will design the frameworks that allow developers to run predictive models, risk scoring, and automated data labeling directly on on-chain and off-chain data.

Responsibilities

• Architecture Design: design the end-to-end AI architecture for MWS, ensuring it can handle high-throughput blockchain data
• Feature Engineering: identify and implement key data features from the Mintlayer network to power risk-scoring and liquidity models
• Production Deployment: oversee the scaling of ML models within our Go-based microservices architecture
• Collaboration: partner with the Rust Core team to ensure data indexing is optimized for machine learning consumption
• Future-Proofing: stay ahead of RAG and agentic workflows to offer cutting-edge tools to MWS users

Requirements

• 4-5 years of professional experience in AI/ML engineering, with models taken from research all the way to a production environment
• Strong proficiency in Python and a solid understanding of Go or C++
• Experience with MLOps tools and cloud data processing (e.g., Spark, Ray, or specialized vector databases)
• Ability to handle complex, graph-based data structures like the UTXO model
• Must be located in or willing to relocate to Dubai

Benefits

• Health & Prevention: Comprehensive, high-tier medical insurance with a focus on preventative medicine, annual executive health screenings, and diagnostic check-ups
• Fitness & Wellness Programs: Monthly fitness allowances for premier gyms and studios, plus internal wellness initiatives including yoga, ergonomics workshops, and stress management
• Competitive Compensation: Salary paid in your choice of fiat, Bitcoin, or stablecoins. ML token allocation and vesting for senior roles
• Relocation Support: Full assistance with UAE residency visas and relocation to Abu Dhabi for on-site roles. We handle the paperwork
• Flexible Working: Structured flexibility across on-site, hybrid, and fully remote roles. Core overlap hours respected across time zones
• Global Team Meetups: Periodic gatherings with the full team around the world. The remote team is never remote from the culture