Transformers – Who Needs Engineers
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Software Engineering RecruitmentTue, 08 Oct 2024 13:20:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngTransformers – Who Needs Engineers
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3232Trainee Data Science – Focus on NLP
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Tue, 08 Oct 2024 13:20:02 +0000/wne_live/jobs/jobs-categories/trainee-data-science-focus-on-nlp-2/Trainee Data Science – Focus on NLP
Job Description:
Join our dynamic team as a Trainee in Data Science with a focus on Natural Language Processing. In this role, you will design and develop generative AI and NLP solutions tailored to address client challenges and use cases, optimizing for performance, latency, cost, scalability, and complexity. You will collaborate closely with various stakeholders and client representatives, ensuring that the solutions you create meet their needs. As a developer, you will work on diverse use cases, including Knowledge Management with Retrieval Augmented Chatbots and fine-tuning language models to enhance NLP pipelines and process domain-specific language. You will implement robust, scalable, and high-performance machine learning pipelines following current ML Ops or LLM-Ops best practices, utilizing various infrastructures such as Azure, AWS, or Google Cloud Platform. Your contributions will also extend to product development and enhancing our service portfolio, as well as creating marketing content. Keeping abreast of the latest developments in NLP and AI, including repositories, methods, tools, and research papers, will be essential for delivering the best solutions to our clients. Additionally, you will assist our senior consultants in their daily tasks, including preparing for client meetings and presentations.
IT Languages:
Python
R
As a Trainee Data Scientist, you will undertake various responsibilities to develop your skills and contribute to exciting projects.:
Design and implement generative AI and NLP solutions;; Collaborate with clients and stakeholders to understand their needs;; Work on Knowledge Management and chatbot applications;; Develop and maintain machine learning pipelines;; Stay updated with the latest NLP and AI advancements;; Support senior consultants in preparing client presentations
Spoken Languages:
English;; German
Skillset:
Machine Learning
Deep Learning
Natural Language Processing
Transformers
Cloud Deployments
ML Ops
Soft Skills:
Strong communication skills
Reliability
Attention to detail
Structured working style
Qualifications:
Bachelor’s or Master’s degree in Data Science, Business Administration, Economics, Statistics, Computer Science, or Business Informatics
Practical experience in Data Science through internships or personal projects
Strong knowledge of Machine Learning and Deep Learning, particularly regarding Transformers, Large Language Models, and generative AI
Familiarity with tools and methods for NLP applications such as HuggingFace Transformers, OpenAI APIs, and PyTorch
Years of Experience:
1
Location:
Germany
Job Benefits:
Tailored development program with training in project management and presentation skills
Opportunity to work on cutting-edge technologies in Data Science and AI
Collaborative workplace with flat team structures
Agile work style with fast decision-making processes
Modern office equipped with high-quality facilities
Apple IT equipment (MacBook Pro)
Flexible working hours and remote work options
Regular team events
Free beverages and snacks in the office
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture that values the uniqueness of each individual, emphasizing mutual respect and collaboration. Diverse backgrounds, perspectives, and ideas enrich our team and are fundamental to our success.
Opportunities For Advancement:
Career progression to Junior Consultant with a focus on Data Science, Exposure to real-world projects, Continuous learning and professional development
Visa Sponsorship:
Available
]]>Research Assistant – Deep Learning
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Mon, 23 Sep 2024 19:20:02 +0000/wne_live/jobs/jobs-categories/research-assistant-deep-learning/Research Assistant – Deep Learning
Job Description:
Join a dynamic team at a modern and family-friendly university located in the vibrant city by the sea. We are looking for a dedicated Research Assistant to explore the innovative field of deep learning, specifically focusing on environmental modeling. As a Research Assistant, you will immerse yourself in cutting-edge research that aims to develop novel methods for training foundation models on diverse and multi-modal environmental datasets. Your work will contribute significantly to understanding the complex dynamics of ecosystems, particularly marine systems like the Baltic Sea. Collaborate with a team of deep learning experts and engage with leading researchers from renowned institutions such as the Leibniz Institute of Baltic Sea Research and Dalhousie University in Canada. This position offers an excellent opportunity for scientific qualification and professional growth within an interdisciplinary environment.
IT Languages:
Python
TensorFlow
PyTorch
As a Research Assistant, your primary responsibilities will include conducting research in deep learning for earth systems, developing and applying methods for geospatial modeling, and collaborating with international partners.:
Investigate and advance foundation models applied to marine systems;; Develop and implement methods involving deep learning, transformers, and physics-informed neural networks;; Collaborate with local and international experts in marine research;; Publish findings in leading conferences and academic journals;; Supervise undergraduate and master’s students;; Organize and facilitate scientific events related to marine data science
Spoken Languages:
English;; German
Skillset:
Deep Learning
Machine Learning
Geospatial Modeling
Transformers
Physics-Informed Neural Networks
Soft Skills:
Analytical thinking
Curiosity
Self-motivation
Team collaboration
Effective communication
Qualifications:
Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field with strong academic performance
Proven experience in machine learning and programming, preferably in Python
Demonstrated interest in applying machine learning techniques in environmental modeling
Years of Experience:
3
Location:
Europe
Job Benefits:
Professional development opportunities
Access to cutting-edge research facilities
Collaborative work environment
Flexible work arrangements
Working Conditions:
Full Time
Employment Type:
Temporary Contract
Company Culture:
We promote an inclusive and innovative work environment that values diversity, collaboration, and the pursuit of excellence in research. Our team is committed to fostering a supportive atmosphere where all members can thrive and contribute effectively to scientific advancements.
Opportunities For Advancement:
Potential for doctoral qualification, Networking with international research institutions, Opportunities to publish research findings