Machine Learning Engineering Lead

Royal Canin; Aimargues; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A global pet food company is seeking a Machine Learning and AI Engineering Lead to join its Data & Analytics team in France. The role involves overseeing AI and ML solution deployment, collaborating with data scientists, and developing a roadmap aligned with business goals. Candidates should have 5-7 years of experience in AI/ML, ideally in the retail industry, along with expertise in the Microsoft Azure tech stack. This position offers competitive compensation and a dynamic work environment, emphasizing innovation and growth.

Prestations

Industry-competitive salary

Company bonus

Support from Mars University

Qualifications

• 5-7 years of experience in a quantitative role, preferably in CPG or retail industries.
• Proven success in deploying AI/ML/Data Science solutions.
• Strong communication skills and ability to convert business needs into analytical frameworks.

Responsabilités

• Serve as the technical lead for Generative AI and ML model deployment.
• Collaborate with Data Science to design and build ML products.
• Maintain documentation for model training and deployment processes.

Connaissances

AI/ML product delivery

Collaboration

Problem solving

Customer centric mindset

Agile methodology

Outils

Microsoft Azure

Databricks

MLOps frameworks

Description du poste

Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc.

The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain.

Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda.

The Machine Learning and AI Engineering Lead will oversee ML and GenAI solution development and deployment as a capability served within the Data & Analytics solution portfolio. The role integral to the organization’s mission of leveraging advanced technologies to drive innovation and efficiency across the organization. The role is part Engineering and platform organization and will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and demand.

What will be your key responsibilities?

• Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A.
• Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators.
• Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation.
• Develop and oversee the implementation of an MLOps and LLMOps strategy.
• Review code developed by the data science team to ensure solution can be deployed. Identify opportunities to optimize methodologies.
• Contribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices.
• Create repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs.
• Define key performance indicators (KPIs) and implement monitoring systems for deployed products to ensure continuous operational performance. Define strategy to handle incident management.
• Engage with Platform Product team to scope, plan and implement accelerators and ML platform components.
• Stay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A on technological advancements in this area.
• Documentation: Maintain comprehensive documentation for model training pipelines, deployment processes, and code.
• Partner with the Product Management squad model and provide advice on how inflight projects can utilise ML and AI to generate additional value.

What are we looking for?

• 5-7 years of experience working in a quantitative role preferably in the CPG, or retail industry.
• Proven track record of delivering value through AI/ML/Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.
• Partner with business leadership across functions and data science teams to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team
• A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use.
• Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.
• Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
• Ability to translate business needs into analytical frameworks & superior verbal and written communication skills
• Working understanding of ML Ops and DevOps frameworks.
• Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose-driven company where we’re striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry-competitive salary and benefits package, including company bonus.