Applied AI Engineering, Lead

Overview

In this role you will lead a high-performing data science team to deliver impactful ML models and data-driven insights that support Deel’s growth. You will partner with engineering and product teams to deploy analytics in production and mentor junior scientists. You’ll shape the data science roadmap, stay ahead of industry trends, and ensure reproducibility and reliability of models. This is a chance to drive AI-powered decision making at scale in a fast-moving, global company.

Retribuzione / Benefits

Stock grant opportunities

Optional flexible working office membership

Competitive total rewards

Role- and location-based perks

Responsabilità

Lead and manage a team of data scientists to deliver high-impact data models, algorithms, and insights for various business units

Develop and execute data science projects, ensuring alignment with business objectives and timely delivery

Guide the team in applying machine learning techniques to solve complex business problems and improve decision-making

Collaborate with engineering and product teams to ensure seamless deployment of data models and analytics into production

Mentor and coach junior data scientists, fostering growth and development within the team

Develop and maintain best practices for data science workflows, ensuring high standards of reproducibility and reliability

Drive innovation by staying updated on industry trends and emerging technologies in data science

Ensure the integrity, accuracy, and scalability of data models and analyses

Communicate data insights and model outcomes to non-technical stakeholders, including leadership teams

Oversee the continuous improvement of data processes, methodologies, and tools within the team

Requisiti fondamentali

5+ years of experience in data science, with a strong background in machine learning, statistics, and data modeling

Strong expertise in LLM engineering: RAG, agents and tool use, fine-tuning, evals, and optimising cost and latency in production (routing, serving)

Fluent with AI-assisted development tools (e.g. Claude Code, Cursor) and able to build team practices that let them ship faster without lowering quality

2+ years of experience leading or managing a data science team

Proficiency in programming languages such as Python, R, and SQL

Strong experience with machine learning frameworks (Tensor

Flow, Py

Torch, Scikit-learn)

Experience with cloud platforms (AWS, GCP, Azure) and distributed computing (Spark)

Solid understanding of statistical analysis and hypothesis testing methods

Strong communication skills, with the ability to present complex data findings to non-technical stakeholders

Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment

Strong problem-solving abilities and a passion for driving data-driven decision-making across the organization

strong communication

leadership and mentoring

ability to manage multiple projects

LLM engineering: RAG, agents and tool use, fine-tuning, evals

cost and latency optimization in production

AI-assisted development tools (Claude Code, Cursor)