ML Engineer, Data & Analytics
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Hedehusene
Job Req Number: 46031
Time Type: Full Time
Do you want to push the boundaries of machine learning? And can you create scalable ML-models applicable as services to other components?
Innovating and designing new products as well as tweaking and maturing existing ones, you will cooperate with data scientists and other specialists to create the ML framework of tomorrow as our next ML engineer.
Join a team focused on our most valuable digital products
You will join the Data & Analytics team. The purpose of our team is to build advanced end-to-end products that create direct business value for DSV’s divisions, including:
The use cases we solve tend to have a high degree of complexity, requiring non-deterministic problem solving (i.e. the use of ML/AI), near real-time data processing, a need for high availability, vertical and horizontal scalability and a very high volume of transactions.
However, fancy technologies and accurate ML models do not solve the issues at hand alone. We strive to combine our competencies to build holistic solutions where the underlying complexity is hidden for the user to create simple and value-adding experiences.
Your new unit is divided into cross-functional product teams with a mix of young and highly experienced colleagues. We strive to base our work on knowledge and insight rather than hierarchical structures, and we make sure that our decisions are based on conversations between people with different competencies rather than one individual.
Tweak our framework and automate your testing
As our next ML Engineer, you will use and tweak existing framework for automated testing and evaluation of ML models. You will ensure that your ML models are wrapped as services, matured, and re-trained with user inputs on a continuous basis.
Additionally, you will be:
You thrive when solving high-complexity challenges
Solving problems too complex for deterministic reasoning with the use of machine learning, you need to be able to thoroughly analyse problems using data and statistics. With these skills, you make realistic mockups of data to allow you to test things swiftly, finding pragmatic solutions that balances between the theoretical standpoint and what is actually possible.
Additionally, we expect you to have experience with a majority of the following technologies:
Want to know more and apply?
We will be happy to answer any questions you may have regarding the position and about your options in DSV. You are welcome to call Senior Product Owner, Data & Analytics Nikolaj Thiesen on +45 2631 4696.
Working with us, you will get to know these systems as well:
DSV – Global Transport and Logistics
DSV is one of the very best performing companies in the transport and logistics industry. 75,000 employees in more than 90 countries work passionately to deliver great customer experiences and high-quality services – as part of the operation or in a variety of supporting roles. If you have drive and talent and enjoy responsibility, we’ll give you the support you need to explore your potential and forward your career.
Read more at www.DSV.com
Time Type: Full Time
Do you want to push the boundaries of machine learning? And can you create scalable ML-models applicable as services to other components?
Innovating and designing new products as well as tweaking and maturing existing ones, you will cooperate with data scientists and other specialists to create the ML framework of tomorrow as our next ML engineer.
Join a team focused on our most valuable digital products
You will join the Data & Analytics team. The purpose of our team is to build advanced end-to-end products that create direct business value for DSV’s divisions, including:
- Customs declaration automation
- Vendor invoices automation
- Booking transparency
- Address validation
- ETA prediction
The use cases we solve tend to have a high degree of complexity, requiring non-deterministic problem solving (i.e. the use of ML/AI), near real-time data processing, a need for high availability, vertical and horizontal scalability and a very high volume of transactions.
However, fancy technologies and accurate ML models do not solve the issues at hand alone. We strive to combine our competencies to build holistic solutions where the underlying complexity is hidden for the user to create simple and value-adding experiences.
Your new unit is divided into cross-functional product teams with a mix of young and highly experienced colleagues. We strive to base our work on knowledge and insight rather than hierarchical structures, and we make sure that our decisions are based on conversations between people with different competencies rather than one individual.
Tweak our framework and automate your testing
As our next ML Engineer, you will use and tweak existing framework for automated testing and evaluation of ML models. You will ensure that your ML models are wrapped as services, matured, and re-trained with user inputs on a continuous basis.
Additionally, you will be:
- Building micro services for post-processing
- Making sure that results from the models create the necessary user value in the frontend by working closely together with the full stack application developers
- Building near real time data streaming workflows
You thrive when solving high-complexity challenges
Solving problems too complex for deterministic reasoning with the use of machine learning, you need to be able to thoroughly analyse problems using data and statistics. With these skills, you make realistic mockups of data to allow you to test things swiftly, finding pragmatic solutions that balances between the theoretical standpoint and what is actually possible.
Additionally, we expect you to have experience with a majority of the following technologies:
- ML Frameworks: TensorFlow & PyTorch
- ML model serving: TensorFlow & Torch
- Coding languages: Python & Java
- Database technologies such as: MySQL & MongoDB
- Version control: Git
Want to know more and apply?
We will be happy to answer any questions you may have regarding the position and about your options in DSV. You are welcome to call Senior Product Owner, Data & Analytics Nikolaj Thiesen on +45 2631 4696.
Working with us, you will get to know these systems as well:
- Event streaming: Confluent Kafka, K streams
- ML Frameworks: TensorFlow / PyTorch
- ML model serving: TensorFlow serving, Torch serving
- Coding languages: Python & Java
- Version control: Git
- Authentication: Open ID Connect
- Containerization: Docker
- Container orchestration: Kubernetes
- CI/CD Pipelines: Jenkins
- Load balancing: NGINX
- Installation scripts: Ansible
- Requirements: Jira
- Documentation: Confluence
- Frontend technologies: React JS, Material UI, JavaScript/TypeScript, Redux
- Test framework: Jest
DSV – Global Transport and Logistics
DSV is one of the very best performing companies in the transport and logistics industry. 75,000 employees in more than 90 countries work passionately to deliver great customer experiences and high-quality services – as part of the operation or in a variety of supporting roles. If you have drive and talent and enjoy responsibility, we’ll give you the support you need to explore your potential and forward your career.
Read more at www.DSV.com
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Hedehusene.
Jobbet er oprettet på vores service den 16.2.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Hedehusene
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