13 hours ago

Applied AI Lead

Revolut

Hybrid
Full Time
$170,000
Hybrid

Job Overview

Job TitleApplied AI Lead
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$170,000
LocationHybrid

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Job Description

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About The Role

The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions — collaborating across Design, Engineering, and Data to build features our customers love.

We’re looking for an Applied AI Lead who knows how to take responsibility over the roadmap of their product, including day-to-day operations, project execution, and addressing risks. From conception to launch and beyond, you’ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.

Up to shape what's next in finance? Let's get in touch.

What You’ll Be Doing

  • Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies
  • Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
  • Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
  • Setting your team's goals, success metrics, and roadmap to align with company goals
  • Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment

What You'll Need

  • Experience developing and launching AI products/features from scratch
  • High analytical and technical acumen, along with solid business sense and problem-solving skills
  • Experience in a data science or machine learning role
  • Experience owning machine learning projects, from design to implementation and iteration
  • Great Python, SQL, or other programming language skills
  • Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)
  • Knowledge of version control, model deployment, and developer environments
  • Evidence of impressive mathematical and statistical knowledge
  • An entrepreneurial drive to never settle

Key skills/competency

  • AI Product Management
  • Large Language Models (LLM)
  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Python Programming
  • SQL
  • Deep Learning Frameworks (TensorFlow, PyTorch)
  • Data Science
  • Product Vision & Strategy
  • Cross-functional Leadership

Tags:

Applied AI Lead
AI Product Management
Machine Learning Operations
Natural Language Processing
Large Language Models
Cross-functional Leadership
Strategic Planning
Data Analysis
Goal Setting
Problem Solving
Product Vision
Python
SQL
TensorFlow
PyTorch
Keras
Deep Learning
Machine Learning
AI Automation
Version Control
Model Deployment

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How to Get Hired at Revolut

  • Research Revolut's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight AI product leadership, deep learning experience, and cross-functional collaboration skills.
  • Showcase AI project experience: Detail your success in developing and launching machine learning and NLP products from conception to iteration.
  • Prepare for technical deep-dives: Brush up on Python, SQL, deep learning frameworks (TensorFlow, PyTorch), and model deployment best practices.
  • Articulate your vision: Demonstrate strategic thinking for leveraging AI, including LLMs, to solve complex financial problems and drive product innovation.

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