• Work on impactful, real-world AI/ML projects across global business domains.
• Collaborate, innovate, and grow with the latest AI tools and technologies.
  
  

About Our Client

A global leader in the dairy industry, this client specializes in the trading, distribution, and innovation of dairy products across more than 100 countries. They combine deep market expertise with a strong focus on sustainability, technology, and long-term partnerships to drive value throughout the supply chain.

Job Description

• Translate complex business challenges into scalable AI/ML solutions.
• Set up robust A/B tests to validate and optimize model performance.
• Ensure data quality and readiness for AI applications.
• Build and maintain APIs and automate workflows using Azure, Databricks, Python, and SQL.
• Explore and implement LLM apps with Agents, MCP, RAG, vector Search, and real-time AI use cases.
• Collaborate with various departments to embed AI into day-to-day processes.
• Lead by example, mentoring peers and sharing best practices.
• Stay ahead of the curve by experimenting with new tools and trends in AI.
• Promote a culture of innovation and continuous learning.
• Champion engineering excellence and agile ways of working.
• Design and develop AI/ML solutions for real-world challenges.
• Validate models through experimentation, including A/B testing.
• Collaborate cross-functionally with data engineers, analysts, and business teams.
• Maintain high standards of data quality and model interpretability.
• Integrate models into production workflows and monitor their performance.
• Explore emerging GenAI capabilities such as LLMs, RAG, and real-time ML.
• Experience with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes) is a plus.
• Contribute to the evolution of my client AI maturity roadmap.
• Actively share knowledge and mentor team members.
• Develop reusable AI components and scalable architecture.
• Constantly research and test innovative tools, frameworks, and practices.
  
  

The Successful Applicant

• Bachelor's or Master's degree in Data Engineer, Computer Science, or a related field (bonus if combined with Economics).
• 3+ years of experience in a Data Scientist or AI Engineer role.
• Minimum 2 years of focused experience in developing and deploying AI/ML models.
• Proficient in Python(Advance level), SQL, Azure, and Databricks.
• Experience with MLOps, CI/CD, and model monitoring.
• Familiarity with APIs, Terraform, or other automation tools is a plus.
• Comfortable working in an Agile/DevOps environment.
• Fluent in English, spoken and written.
  
  

What's on Offer

• Competitive compensation and benefits. Salary depends on your experience and education.
• Free delicious and healthy lunch.
• 40 hour work week, 25 holidays.
• We value your personal development and have a strategic focus on our learning program.
• Participate in fun team activities.
  
  

Contact: Luca Balossino

Quote job ref: JN-042025-6724513