Machine Learning Ops Manager

Key Skills

Aartificial intelligence, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, Design, DevOps, Docker, Kubernetes-K8s, Machine learning techniques, MLOps tools, PySpark, Python Programming

Job Description

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 quo
• Personal drive and ability to inspire and engage others towards action
• Personal mastery –emotionally resilient; always bringing the best of themselves

Demonstrates 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 context
• Encourages experimentation, bringing the outside in, and intelligent risk taking
• Brings the voice of the consumer and internal customer into everything they do
• Passion for high performance – creating motivation and focus to drive execution at speed
• A talent catalyst – encouraging collaboration and inclusivity, empowering teams to be their best

What 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 environment
• Flexible work environment built on trust and autonomy
• Pension scheme
• Employee Assistance Program for you and your family
• Well-being hub with access to benefits such as Healthcare, eye tests, health checks, occupational physio

We 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!