Junior Machine Learning Engineer

Junior Machine Learning Engineer

Job Description:

Are you ready to embark on an exciting journey in the world of machine learning? We are seeking a passionate Junior Machine Learning Engineer to join our dynamic team in Leipzig. In this role, you will be instrumental in developing innovative end-to-end solutions that enhance the customer experience across various digital products. Our client is a large company with a strong presence in Germany, known for its commitment to e-commerce and cutting-edge technology. You will work in a collaborative environment characterized by agile processes and flat hierarchies, allowing for rapid professional growth and development. If you have a keen interest in applying machine learning algorithms to solve real-world problems and optimize products, this position is for you.

IT Languages:

• Python

As a Junior Machine Learning Engineer, you will collaborate with a talented team to deliver high-performing data applications and machine learning models.:

Develop and optimize machine learning operations (ML Ops) to enhance workflow efficiency;; Create and refine models utilizing machine learning and self-correcting algorithms in various domains, including natural language processing and recommender systems;; Structure, program, and implement performance-oriented logics for data applications;; Integrate updated models and optimizations into production systems;; Transform business use cases into technical concepts and system architectures;; Prepare and cleanse data from multiple sources such as AWS, databases, and Google Analytics

Spoken Languages:

• German;; English

Skillset:

• Pandas
• SKLearn
• SciPy
• Pytorch
• Tensorflow

Soft Skills:

• Creativity
• Curiosity
• Team collaboration
• Communication

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Mathematics, Physics, or Statistics
• Hands-on experience in data science projects, with a focus on ranking and recommendation systems
• Proficient in the Python data science stack including Pandas, SKLearn, and SciPy
• Familiarity with deep learning frameworks such as Pytorch and Tensorflow

Years of Experience:

1

Location:

Germany

Job Benefits:

• Flexible working hours with a hybrid model of three days in-office and two days remote
• Support for personal and professional growth through ongoing training and feedback sessions
• Attractive and performance-oriented salary package with annual bonuses
• Fitness cooperations and subsidized company bicycle leasing
• Agile work environment in small teams fostering a strong team spirit
• Ergonomic workplace with modern equipment from day one

Working Conditions:

Hybrid

Employment Type:

Permanent Contract

Company Culture:

• The company promotes a culture of innovation and collaboration, encouraging employees to share knowledge and work together in a supportive environment. Team members are empowered to take initiative and contribute to exciting projects that impact the overall business.

Opportunities For Advancement:

• Access to continuous learning and professional development opportunities, Potential for career progression within the data science community, Engagement in interdisciplinary projects that broaden skill sets

Visa Sponsorship:

Available