Machine Learning and AI Engineering Lead

ENGINEERINGUK; Haguenau; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading company is seeking a Machine Learning and AI Engineering Lead to drive innovation and efficiency through advanced technologies. This role involves overseeing ML and AI solution development, collaborating with data science teams, and ensuring compliance with analytics standards. The ideal candidate will have extensive experience in AI/ML, a strong customer-centric mindset, and the ability to translate business needs into analytical frameworks.

Prestations

Best-in-class learning and development support

Industry-competitive salary and benefits

Access to Mars University

Qualifications

• 5-7 years of experience in a quantitative role, preferably in CPG or retail.
• Proven track record of delivering AI/ML products in fast-paced environments.

Responsabilités

• Oversee ML and AI solution development and deployment.
• Collaborate with Data Science team to design and build ML products.
• Define KPIs and implement monitoring systems for deployed products.

Connaissances

Strategic thinking

Problem-solving

Innovation

Customer-centric mindset

Communication

Outils

Microsoft Azure

AzureML

Azure AI Foundry

Databricks

Description du poste

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Machine Learning and AI Engineering Lead

View more categories View less categories Sector Manufacturing Role Manager Contract Type Permanent Hours Full Time

Job Description:

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 breakthrough 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 AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role is integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organization. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements.

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. Align and contribute towards the wider Petcare MLOps strategy.
• Review code developed by the data science team to ensure solutions 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 strategies to handle incident management.
• Engage with RC D&A Platform Lead and Platform Product Owner to scope, plan, and implement accelerators.
• Stay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A teams on technological advancements in this area.
• Maintain comprehensive documentation for model training pipelines, deployment processes, and code.
• Partner with the Product Management squad to provide advice on how inflight projects can utilize ML and AI to generate additional value.

What are we looking for?

• 5-7 years of experience 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 scalable and reusable codebases and models to address business problems effectively.
• Ability to partner with business leadership across functions and data science teams to identify challenges and translate them into actionable, data-driven solutions.
• Eagerness to learn, flexibility, and a growth mindset to build a successful team.
• A strong customer-centric mindset, especially within an internal customer base, to drive value creation, adoption, and use.
• Strategic thinking, problem-solving, and innovation skills to anticipate and navigate challenges and opportunities.
• Ensure compliance with analytics standards, tailoring methodologies to specific use cases such as ML, AI, and descriptive analytics.
• Excellent verbal and written communication skills to translate business needs into analytical frameworks.
• Working understanding of ML Ops and DevOps frameworks.
• Familiarity with Microsoft Azure tech stack, including AzureML, Azure AI Foundry, and Databricks.

What can you expect from Mars?

• Work with diverse and talented Associates, guided by the Five Principles.
• Join a purpose-driven company committed to building a better future.
• Best-in-class learning and development support, including access to Mars University.
• Industry-competitive salary and benefits, including a bonus.

Mars is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Accommodations are available upon request for applicants with disabilities.

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