Lead Applied AI Engineer: ML and LLM Production

Deel; Cuneo; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Stock grant opportunities

Optional flexible working office

Competitive total rewards

Role- and location-based perks

Job summary

Deel is seeking a senior data science leader to drive a high-performing team focused on ML models and data-driven insights across the business. You will partner with engineering and product to deploy analytics in production and mentor junior scientists in a fast-moving global company.

You will shape the data science roadmap, apply state-of-the-art techniques including LLMs, and stay ahead of industry trends to ensure reproducibility and reliability of models at scale.

Qualifications

• 5+ years in data science with ML, stats and modeling.
• 2+ years leading or managing a data science team.
• Proficiency in Python, R, SQL and ML frameworks.
• Strong experience with cloud platforms and distributed computing.
• Excellent communication for non-technical stakeholders.

Responsibilities

• Lead and manage a data science team delivering high-impact models and insights.
• Develop and execute data science projects aligned with business goals.
• Apply ML techniques to solve complex problems and improve decisions.
• Collaborate with engineering/product to deploy analytics in production.
• Mentor junior data scientists and establish best practices.
• Maintain reproducible, reliable data workflows and tooling.
• Stay updated on industry trends and emerging technologies.
• Ensure data model integrity, accuracy, and scalability.
• Communicate outcomes to leadership and stakeholders.
• Drive continuous improvement of data processes and tools.

Skills

Leadership

ML engineering

Python

R

SQL

LLM

Cloud computing

Spark

Statistics

Communication

Education

Bachelor's in CS/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Claude Code

Cursor

AWS

GCP

Azure

Job description

Deel is seeking a senior data science leader to drive a high-performing team focused on ML models and data-driven insights across the business. You will partner with engineering and product to deploy analytics in production and mentor junior scientists in a fast-moving global company.

You will shape the data science roadmap, apply state-of-the-art techniques including LLMs, and stay ahead of industry trends to ensure reproducibility and reliability of models at scale.