Aws Engineer, DevOps, Machine Learning

2 weeks ago

Slough Berkshire, United Kingdom Mars Full time

Come become a part of a vibrant CDO team serving Mars Snacking Enterprise. Our team helps build the Data Platforms, Model & Engineer data products, craft Analytical products and Integrations to be a truly data-driven growth engine. 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 Mars Snacking 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 in our organization are just some of our big focus areas.
Building on this momentum, we are recruiting an experienced MLOps Engineer to drive innovation and aid the delivery of AI initiatives within our organization. As part of the Data Platform capability, alongside teams of Data Scientists, and Data engineers, to design, build and deploy Advanced Analytics products and solutions which drive efficiency and quality across Mars Snacking’s in the Snacking Enterprise Data Engineering team.

What are we looking for?

Education
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline. Advanced degree is preferred.
Preferred – Post-graduate qualifications in Computer Science, Data Engineering or professional qualifications in Advanced Data Design, Big Data.

Experience

Minimum 6 years of experience in an DevOps role or equivalent, ideally within the FMCG, Consumer Products, Retail, Telecom or Financial Services industries
Hands-on experience of 4 - 6 yrs with Python, Django, FastAPI
Experience of 2-4 yrs in deploying infrastructure as code tools e.g. Azure Bicep or Terraform
Must have experience with container technologies like Docker, AKS or K8’s
Hands-on experience in one or several of the following areas: Machine Learning, Data Engineering, DevOps and MLOps
Experience with DevOps principles such as CI/CD, unit testing, and AGILE development
Exposure working with ML teams and deploying models in domains eg. convex optimization, statistical models, time-series models, and Reinforcement Learning/DRL
Experience developing and deploying monitoring tools e.g. Elastic search, Grafana

What will be your key responsibilities?

The MLOps Engineer role is responsible for evangelizing the adoption of data driven decisions across Mars by leading the development DevOps and MLOps capabilities. These frameworks and tools will enable the delivery of data products at scale and enable Machine Learning and AI to provide actionable insights for solving business problems or finding opportunities for profitable growth.
Develops and deploys state-of-the-art frameworks, algorithms, and tools to accelerate the extraction of actionable insights from complex data sets.
The MLOps Engineer works independently, receives minimal guidance, is viewed as a go-to in DevOps, MLOps approach and design discussions.
Act as a thought leader, promoting a culture of innovation, data-driven decision-making, and continuous improvement within the Snacking Ent. Data Engg team and across the organization.
Facilitates and influences complex or ambiguous business discussions, while flexing to communicate Data Engineering related possibilities and concepts in a relatable way.

What can you expect from Mars?

Work with over 140,000 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.

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