Junior Engineer Machine Learning / Deep Learning

Junior Engineer Machine Learning / Deep Learning

Job Description:

Join a dynamic Data Analytics team that is dedicated to transforming data into valuable insights for over 13 million customers. As a leading player in the auto insurance sector, we pride ourselves on our tradition and stability, while actively investing in innovation and a data-driven future. Our agile teams leverage cutting-edge machine learning and AI methodologies to enhance processes, calculate fair pricing, manage claims intelligently, and develop innovative insurance products. You'll have the opportunity to collaborate with experienced data specialists to create practical machine learning applications and contribute to significant transformations in one of Germany's largest insurance companies.

IT Languages:

• Python

As a Junior Engineer in Machine Learning and Deep Learning, your main responsibilities will include applying modern machine learning engineering workflows to meet practical business requirements and developing, implementing, and continuously updating machine learning and deep learning services.:

Continuous operational support for the developed services;; Engagement in skill development through rotation across different projects and collaboration with senior scientists;; Participation in ongoing training and specialization as a Machine Learning Engineer;; Working collaboratively in a creative, motivated, interdisciplinary, and agile team

Spoken Languages:

• German;; English

Skillset:

• Machine Learning
• Deep Learning
• MLOps
• Data Analytics
• Python Programming

Soft Skills:

• Good communication skills
• Self-directed and goal-oriented work style
• High sense of responsibility and ownership for projects and outcomes

Qualifications:

• Master's degree in Data Science, Machine Learning, Computer Science, Physics, Mathematics, or a related field
• Strong programming skills in Python
• Theoretical and practical knowledge of machine learning engineering and MLOps techniques and tools
• Ideally, experience in operational support of machine learning or deep learning services

Years of Experience:

0

Location:

Germany

Job Benefits:

• Flexible working options with a hybrid work model
• Continuous professional development through training and conferences
• Autonomy to drive your own ideas and solutions
• Performance-based compensation
• Job security with a stable company

Working Conditions:

Hybrid

Employment Type:

Permanent Contract

Company Culture:

• The company fosters a collaborative and innovative environment where team members are encouraged to share ideas and solutions. A strong emphasis is placed on professional growth and continuous learning, ensuring that employees can thrive in their roles.

Opportunities For Advancement:

• Skill development through rotations, Collaboration with senior experts, Continuous learning and specialization opportunities

Visa Sponsorship:

Available