Kantar

AI ML Engineer

Copenhagen, Denmark Porto, Portugal
Machine Learning R Python Azure AWS Kubernetes PostgreSQL Docker GCP MySQL Shell API
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Description

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.

To start a career that is out of the ordinary, please apply...

Job Details

What do you need to know about this job?

Kantar is the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Our Insights colleagues are the masters of using data to resolve challenges. They help brands define what they should stand for, how to reinvent and renew their offer, how to better reach audiences, and how to win with consumers and customers. By collecting substantial data from across the world, they blend human expertise with technology, making sure we can deliver innovative insights to brands everywhere.

We are currently seeking a highly skilled and motivated AI/ML Engineer to join our Global Data Science and Innovation team at Kantar. As a member of our team, you will have the unique opportunity to work on exciting and challenging AI-led projects within our organization. This fast-paced and entrepreneurial environment will allow you to contribute to the development of world-class AI solutions using the latest advancements in AI/ML.

Responsibilities:

  • Develop new features in our Bayesian framework to enable enhanced functionality for both internal and external users.

  • Champion good software development practices within the AI team.

  • Write tests and documentation to ensure the quality and maintainability of our codebase.

  • Integrate machine learning models with other systems to facilitate seamless data flow and analysis.

  • Build and maintain scalable and efficient AI pipelines and infrastructure for deployment.

  • Deploy AI models and solutions into production environments, ensuring stability and optimal performance.

  • Implement robust version control and model management practices to track changes and updates.

  • Collaborate closely with the broader engineering team to align with the organization's goals and objectives.

  • Engage in cross-team information exchange, sharing insights and innovative solutions within the AI/ML domain.

  • Collaborate with teams by using models and their output to enhance decision-making effectiveness.

Requirements:

  • Degree from a prestigious technical institute in software engineering, data science or a related field.

  • 3 to 8 years as a similar role (ML engineer, software engineer, data scientist)

  • Strong software engineering background in R, Python or other language

  • Docker Experience

  • DevOps experience (automation and continuous integration).

Desired skills that would be a distinct advantage:

  • Prior experience with developing, maintaining and deploying ML models, especially involving Bayesian statistics

  • Experience in developing and maintaining live deployments.

  • Previous involvement in larger software projects, writing code for others to read and use.

  • Working knowledge of R and R Shiny.

  • Comfortable working in global setups with diverse cross-geography teams and cultures.

  • Seeking individuals who bring a high level of enthusiasm, motivation, and a natural inclination to explore and take initiative.

  • Strong English language proficiency, encompassing both technical and business-related communication skills.

  • Meticulous attention to detail and the ability to balance the big picture with fine details.

Other valued skills:

  • Familiarity with cloud platforms like Azure, AWS, or Google Cloud.

  • Experience with containerization tools (e.g., Docker, Kubernetes), databases (e.g., MySQL, PostgreSQL), and deployment tools (e.g., Azure DevOps).

  • Strong familiarity with Linux operating systems, including system administration, shell scripting, and problem-solving.

  • Ability to develop and integrate APIs, with experience in RESTful services.

  • Knowledge of Agile working methodologies for product development.

  • Familiarity with optimization problems.

This position offers an exceptional opportunity to work in a world-class organization like Kantar. We are an equal opportunity employer and encourage applicants from all backgrounds to apply. We are committed to providing reasonable accommodations/adjustments to individuals with disabilities during the application and interview process. If you require assistance, please let us know in your application.

We look forward to receiving your application and having you join our collaborative and innovative team at Kantar.

This is a role to be based in our offices in Copenhagen OR in Porto.

Location

Copenhagen, RaadhuspladsenDenmark

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 

 

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. 

 

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. 

 

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. 

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Kantar
Kantar
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