Översikt
Plats: Malmö
Företag: Nigel Frank International
Anställningsform:Undefined
Länk: https://www.technojobs.co.uk/job/3148860
Kontakta: sales@technojobs.co.uk
Sista ansökningsdag:
Om tjänsten
Data Engineer – Malmo – International leading company If you want to be at the forefront of technology, within a company that heavily implements Machine Learning and Analytics, then read below and apply today! They are a global leader in the field with more than 370,000 employees worldwide. They believe the future of their industry is a combination of people, knowledge, and technology and have massively implemented the use of sensors and analytics, to mitigate certain events before they even happen. You will be in a part of the company that is called Intelligent Services and they are responsible for building digital security products. This includes developing, launching, and delivering new products directly to end customers or to complement their existing services and operations. Responsibilities: Taking part in the implementation and operation of state-of-the-art AI solutions that are scalable and innovative in the way the data is processed, managed, and analysed. Part of building large-scale batch and real-time data pipelines with advanced data processing frameworks. Work within a cross-functional team to build products that deliver business value and deploy models, tools, and components based on predictive or prescriptive techniques. Requirements: Solid understanding of Python Previous experience performing data analysis and data exploration using SQL Familiarity with Azure Experience with Git, Docker, Kubernetes (beneficial) You will have the chance to work with products built to drive the data transformation and machine learning strategies for global intelligent security products and space to further educate yourself through conferences, workshops and more. If you’re interested in learning more, apply below now! Alternatively, you can email your CV to Click here to contact this recruiter to kick-start the process. Contact Name: Kaelin Defty Reference: TJ/3086/26/09/22(2)_1664208717 Job ID: 3148860
