Junior Machine Learning Engineer

Junior Machine Learning Engineer

Job Description:

Are you ready to embark on an exciting journey in the field of machine learning? We are seeking a motivated Junior Machine Learning Engineer to join a dynamic team in Leipzig. In this role, you will be instrumental in developing innovative end-to-end solutions that enhance the experience of our clients' customers through advanced digital products and services. You will have the opportunity to work in a fast-paced e-commerce environment, collaborating closely with experienced Machine Learning Engineers who will guide you in providing scalable features and performance-oriented models. This position offers a unique chance to apply your creativity and curiosity in data science, utilizing the latest algorithms to optimize products, while also fostering your growth within a supportive Data Science Community.

IT Languages:

• Python
• Pandas
• SKLearn
• SciPy
• Pytorch
• Tensorflow

As a Junior Machine Learning Engineer, your primary responsibilities will include::

Developing and optimizing machine learning operations to enhance data applications and models;; Creating and refining models using advanced machine learning and self-correcting algorithms;; Structuring, programming, and implementing logical frameworks for data processing;; Integrating various models and optimizations into the production systems;; Translating business use cases into effective technical concepts and system architectures;; Preparing and cleansing data from multiple sources like AWS and Google Analytics to ensure high-quality inputs for models

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Deep Learning Frameworks
• Data Processing
• Model Optimization
• Natural Language Processing

Soft Skills:

• Creativity
• Curiosity
• Teamwork
• Communication
• Problem-solving

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Physics, or Statistics
• Experience in data science projects, particularly with ranking and recommendation systems

Years of Experience:

1

Location:

Germany

Job Benefits:

• Flexible working hours with a hybrid model
• Opportunities for personal and professional development through training
• Attractive salary package with performance bonuses
• Wellness programs including fitness cooperations
• Subsidized company bicycle leasing
• Ergonomic workstations with modern equipment

Working Conditions:

Hybrid

Employment Type:

Permanent Contract

Company Culture:

• The company fosters an independent and agile work environment where small teams collaborate closely, promoting a strong team spirit and short decision-making processes. Employees are encouraged to share knowledge and participate in continuous learning opportunities.

Opportunities For Advancement:

• Further training and skill development, Regular feedback meetings for personal growth, Potential for advancement within the Data Science Community

Visa Sponsorship:

Available