Cloud Deployments – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 08 Oct 2024 13:20:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Cloud Deployments – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Trainee Data Science – Focus on NLP https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/trainee-data-science-focus-on-nlp-2/ Tue, 08 Oct 2024 13:20:02 +0000 https://whoneedsengineers.com/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
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