Machine Learning Ops Engineer

Job Description

Job Description:

Data and Analytics is foundational to our Petcare OGSM and will drive our transformation to a business that is powered by data.

To deliver on this ambition set by this OGSM we require the very highest level of technical / engineering expertise within Global Petcare Data & Analytics.

There is a need to expand this high performing team of creative, skilled individuals – to help build out new capabilities and bring fresh ideas to the table.

Key Skills:

• Create and maintain machine learning frameworks with Azure native tools

• Serve batch and real-time models with varying loads and latencies

• Administer and maintain Azure DevOps CI/CD pipelines to deploy models, infrastructure and applications on Azure

• Experience in Azure cloud environments such as AKS, compute clusters, dockers, AML SDK, Azure CLI and storage solutions

• Provide model monitoring, alerting and dashboarding

• Evolve framework as new technologies and techniques emerge

• Degree level OR equivalent demonstrated through work experience

Nice to Have

• Experience in GitHub workflows and machine learning workflows

• Experience in Grafana/Prometheus or other machine learning monitoring tools

• Familiarity with machine learning frameworks (PyTorch, TensorFlow, etc.) and concepts

• Proficiency in Python, PySpark and SQL

• Masters / Degree with some computing, scientific, statistical or mathematical component

Role Context & Scope:

• A technical expert for productionising machine learning products using reusable, customisable frameworks

• Collaborate closely with data science team to test, refactor and optimize machine learning systems in AML and/or Databricks platform(s)

• Evaluate business requirements and translate these requests into technical requirements.

• Actively monitor production for issues and performance and continuously improve frameworks

• Encourage MLOps framework adoption and best practices amongst data scientists

Key Responsibilities:

• Design and implement Azure Machine Learning workflows to productionize machine learning models across Mars Petcare

• Develop and automate big data pre-processing, feature engineering, ML model training and deployment using Azure Machine Learning and Databricks

• Design, develop and maintain custom MLOps frameworks for Mars Petcare use-cases

• Monitor model performance using relevant tools and proactively identify and address potential issues

• Collaborate with data scientists and DevOps engineers to deliver and maintain models

• Take technical ownership of MLOps frameworks

• Design and deliver models in Azure using a suitable tech stack

• Encourage MLOps best practices and adoption across the teams

• Provide support for set up and scale up of ML projects

• Commitment to actively collecting user feedback and improving frameworks

• Integrate solutions to Mars tech stack and align delivery with company roadmap

What can you expect from Mars?

• Work with over 130,000 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.

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.