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Job Description:
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 break-through 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.
#TBDDT
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
