UniOps' purpose unleashes the power of people, experiences, technology, data, and performance to deliver experiences that grow, fuel, and protect Unilever and our stakeholders.

　　The (D&A) team plays a critical role in driving Unilever's Growth and Fuel for Growth, empowering our people to make smarter and faster conclusions to unlock value. Our vision is to transform Unilever to become truly Data Intelligent, delivering quality performance through data-led interpretations

　　About D&A - Context and Vision

　　Digital technology is transforming business, creating huge amounts of data. Our belief is that those companies that can truly harness data, will be those that succeed in the future.

　　Our vision is to elevate data and data use across Unilever, to transform Unilever into a Data-Intelligent enterprise, where every decision and action is powered by the best data and advanced (AI) to deliver on our business goals. It's about empowering our employees, helping them to make smarter and faster interpretations and freeing up their capacity to focus on growth and the decisions that matter. Decisions about our categories, brands, channels, key markets, and our people.

　　We are helping to drive Unilever into the Future of Work, combining the best of human intelligence and machine through data-intelligent decision-making.

　　Who we are and what we do

　　We are a passionate team of over 350 data experts, data scientists, information experts, technical specialists, and business analysts. We operate as 'One D&A', made up of Global engagement and expertise teams, based in our key hubs including India, the UK, and US, and local UniOps in Market D&A teams, based in our key markets. Together, we combine the best of global for scale and efficiency, and local for intimacy and impact.

　　'We are in the midst of a paradigm shift where the intelligence of machines will complement human ingenuity to do good, do better and smarter" - Sanjiv Mehta, Unilever President, South Asia

　　Our key purpose as D&A are to:

　　Set the Unilever data strategy and lay the foundations to maximise the value of our data. Deliver the connected Data Platform to accelerate access to integrated and trusted data at scale across the company for data and decisions. Embed core DA&A capabilities, leading to automation, AI, and Big Data to boost Unilever's data intelligence. Influence the D&A Culture to build a future-fit workforce that values and adopts data-intelligent decision-making across all levels.

　　We are also passionate about powering our growth with purpose, building a diverse and inclusive team and culture, for example through our #WomenInData program, and continuing to innovate in the use of data and AI to meet our sustainability goals.

　　Role Profile

　　Unilever is going through a major transformation journey. The ambition is to become a data intelligent company. To increase its data capabilities, we are looking for an experienced ML Ops manager that will help enabling our strategy through the management of reliable high performing and cost effective solutions.

　　We are seeking an experienced and dynamic ML Ops Manager, the Solution Factory ML Ops manager is responsible for the transition of identified Data Science solutions from development into production. They are accountable for the ongoing maintenance and performance of the Data Science production solutions.

　　Key Accountabilities

　　Work with MLOps Sr Manager to transition models into the production environment, once development and testing is complete Work with the Data Science CoE to ensure that appropriate model maintenance guidelines and monitoring framework are in place for the hand-over of model ownership from the Data Science CoE to Solution Factory DevOps Proactively monitor and manage models in production, including retraining, monitor of model quality, data, and model drifting. Plan and manage the model optimization and CI/CD automation tasks for the team Governance on the incident management, routine MLOps activities Provide regular overall quality reports to senior management Manage Data Science solution DevOps requests with the Engagement Team to deliver maintenance/ minor enhancements as appropriate Coordinate and work with Data Science CoE to deliver significant model maintenance/ enhancement work

　　All About You

　　Essential:

　　End to end knowledge of advanced analytics models lifecycle management Knowledge of Azure Machine Learning, Databricks, in particular experiment tracking, MLFlow and integration between MLFLow and Azure Machine Learning Services Knowledge of the most common data science algorithms and libraries (Spark MLlib, Scikit Learn...) Strong code lifecycle management and CI\CD knowledge, in particular GitHub and Azure DevOps Strong operation and service management skills Wide experience on project and team management

　　Desirable:

　　Machine Learning qualification Knowledge of container technology, in particular Docker, ACS, Kubernetis Python and PySpark coding experience Deep learning tools and techniques

　　Leadership Skills

　　Demonstrates strong "Inner game":Strong Design Thinking/Agility and innovation mindset - intellectually curious, constantly looking to develop, embraces change with sense of urgency and enjoys positively challenging status quoPersonal drive and ability to inspire and engage others towards actionPersonal mastery -emotionally resilient; always bringing the best of themselvesDemonstrates great "Outer game":Credible business acumen - shows understanding of business, commercials and performance metrics. Has gravitas to effectively influence senior stakeholder within a functional and business contextEncourages experimentation, bringing the outside in, and intelligent risk takingBrings the voice of the consumer and internal customer into everything they doPassion for high performance - creating motivation and focus to drive execution at speedA talent catalyst - encouraging collaboration and inclusivity, empowering teams to be their bestWhat do we offer:

　　From our foundation, Unilever has been a purpose-driven company. Today, our purpose is to make sustainable living commonplace. We are working to create a brighter future every day with brands and services that help people feel good, look good and get more out of life. That includes us - the people who work for Unilever, as well as the world around us. Unilever's flexible rewards and benefits are designed to help us all have sustainable households, for whatever life stage you are at now and in the future.

　　These include:Great work environmentFlexible work environment built on trust and autonomyPension schemeEmployee Assistance Program for you and your familyWell-being hub with access to benefits such as Healthcare, eye tests, health checks, occupational physioWe are a key advocate of well-being and offer a variety of support for our people including hubs, programmes, and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. And last but certainly not least - the chance to be a part of a dynamic team with the backing of the globally renowned Unilever brand.

　　At HUL, we believe that every individual irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we'll work to help you become a better you!