Applied Ai Engineering, Lead
Pubblicato il 13-10-2026 - Deel in L'Aquila
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 (TensorFlow, PyTorch, 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)