SKLearn – Who Needs Engineers
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Software Engineering RecruitmentTue, 08 Oct 2024 18:00:01 +0000en-US
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3232Junior Machine Learning Engineer
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Tue, 08 Oct 2024 18:00:01 +0000/wne_live/jobs/jobs-categories/junior-machine-learning-engineer-4/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