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Cloud and Artificial Intelligence Developer

Min Experience

3 years

Location

Germany

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

As a Cloud and Artificial Intelligence Developer, you will be responsible for designing, developing, and maintaining cloud-based applications and services, leveraging the latest cloud technologies such as AWS, Azure, or Google Cloud. You will also be involved in developing and deploying AI/ML-based solutions to enhance the company's products and services. Key responsibilities include: - Designing and developing cloud-based applications and services using best practices and industry standards - Implementing scalable and secure cloud infrastructure using IaC (Infrastructure as Code) tools - Integrating AI/ML-based models and algorithms into business applications - Optimizing cloud resource utilization and cost management - Collaborating with cross-functional teams to define and implement technical solutions - Staying up-to-date with the latest cloud and AI/ML technologies and trends Requirements: - Strong proficiency in programming languages such as Python, Java, or C++ - Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) - Familiarity with containerization and orchestration tools (Docker, Kubernetes) - Knowledge of AI/ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn) - Understanding of software design patterns and best practices - Excellent problem-solving and critical thinking skills - Ability to work in a team and collaborate effectively with other developers and stakeholders

About the company

Hapag-Lloyd is one of the world's leading container liner shipping companies. With a fleet of 249 modern container ships and a total transport capacity of 1.7 million TEU, we serve all major ports around the world. Our approximately 13,400 employees in more than 129 countries work every day to ensure that your cargo reaches its destination safely, on time and cost-effectively.

Skills

python
java
c++
aws
azure
google cloud
docker
kubernetes
tensorflow
pytorch
scikit-learn