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- Tasks: Lead the development and deployment of AI and ML solutions to drive innovation.
- Company: Join Royal Canin, a part of Mars Inc., on an exciting digital transformation journey.
- Benefits: Competitive salary, bonus, and top-notch learning opportunities from day one.
- Why this job: Make a real impact by leveraging cutting-edge technology in a dynamic environment.
- Qualifications: 5-7 years in a quantitative role with strong AI/ML experience.
- Other info: Collaborate with talented teams and contribute to a purpose-driven mission.
The predicted salary is between 36000 - 60000 £ per year.
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 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 organisation. 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.
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 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 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 on technological advancements in this area.
- 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 into 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.
Machine Learning and AI Engineering Lead in Peterborough employer: Mars Food US, LLC
Contact Detail:
Mars Food US, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning and AI Engineering Lead in Peterborough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past experiences and how they relate to the role at Royal Canin.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Machine Learning and AI Engineering Lead in Peterborough
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and ML, especially in relation to the responsibilities mentioned in the job description. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in machine learning and AI. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. We appreciate clarity and directness!
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Mars Food US, LLC
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI, especially those relevant to the CPG and retail industries. Be ready to discuss specific projects you've worked on and how they align with the role's requirements.
✨Showcase Your Collaboration Skills
This role involves working closely with data science teams and business leadership. Prepare examples of how you've successfully collaborated in the past, particularly in agile environments, to solve complex problems.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into technical discussions about MLOps, Azure tech stack, and scalable code practices. You might be asked to review code or discuss architectural decisions, so having a solid grasp of these concepts is crucial.
✨Emphasise Your Customer-Centric Mindset
Since the role focuses on driving value for internal customers, think of examples where you've put customer needs at the forefront of your projects. Highlight how your work has led to tangible benefits for users or stakeholders.
