Data Scientist – Specializing in NLP and LLM - Berlin - 75k

Optimus Search; Berlin; On-site; EUR 67,500 - 82,500; Full time

Benefits offered by this job

Flexible work hours

Mobile work options

30 days annual leave

In-house physiotherapy center

JobRad

Sabbatical options

Discounted meals at company restaurant

Pension plan

Comprehensive training and onboarding

Job summary

An innovative firm is on the lookout for a passionate Data Scientist specializing in Natural Language Processing and Large Language Models. In this dynamic role, you'll collaborate with skilled colleagues to develop cutting-edge AI technologies, focusing on the application and standardization of NLP and LLMs. You'll have the opportunity to work in a creative environment, optimizing infrastructures and managing open-source LLMs while contributing to interdisciplinary teams. If you're eager to make a significant impact in the rapidly evolving field of NLP, this role offers an exciting challenge with ample opportunities for personal and professional growth.

Qualifications

• Completed studies in statistics, data science, mathematics, or related fields.
• Extensive experience in Machine Learning, Deep Learning, NLP, LLMs, and RAG.

Responsibilities

• Develop AI assistants using LLMs and RAG for internal processes.
• Implement NLP methods to extract and structure knowledge from data.

Skills

Natural Language Processing (NLP)

Large Language Models (LLM)

Machine Learning

Deep Learning

Project Management

Interdisciplinary Collaboration

Education

Degree in Statistics, Data Science, Mathematics, or Computer Science

Tools

Python

Langchain

Llamaindex

Vector

Docker

Git

Shell

AWS

Azure

GCP

Job description

Data Scientist – Specializing in NLP and LLM - Berlin - 75k

We are seeking a passionate and skilled Data Scientist with expertise in Natural Language Processing (NLP) and Large Language Models (LLM) to join our team. In this role, you'll collaborate with experienced colleagues to develop and implement cutting-edge NLP and LLM technologies. You’ll have the chance to work in a dynamic, creative environment focused on the application and standardization of these technologies, while realizing your potential in the rapidly evolving NLP field.

Your Role

• Develop AI assistants using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for internal processes and user interactions.
• Apply Natural Language Processing (NLP) methods to extract and structure knowledge from data, adapting LLMs and machine learning models for this purpose.
• Identify and implement innovative applications of NLP and LLMs in business contexts.
• Plan, develop, and optimize infrastructures using DevOps, LLMOps, and cloud services for deployment and maintenance of AI solutions.
• Manage the operation of open-source LLMs and develop prototypes for future AI products.
• Design and implement web applications and APIs for user access to LLMs, integrating them into existing products and solutions.
• Collaborate with external service providers to support AI projects and ensure successful delivery.
• Contribute to interdisciplinary teams and knowledge sharing within AI networks.
• Oversee the development and maintenance of documentation and technical support for LLM operations.

Your Profile

• Completed studies in statistics, data science, mathematics, computer science or related fields
• Extensive experience in some of the following: Machine Learning, Deep Learning, NLP, LLMs, and RAG.
• Proficiency in Python, or other data science languages and related LLM frameworks such as Langchain, Llamaindex and Vector.
• Experience with DevOps tools like: Docker, Git, Shell, and LLMOps.
• Experience with integrating cloud platforms such as AWS, Azure, or GCP.
• Proven expertise in project management, networking, interdisciplinary collaboration, and knowledge transfer.

What We Offer

• Full-time position with 35 hours per week.
• Flexible work hours, with the possibility to increase working hours up to 42 hours per week.
• Flexible working arrangements, including the option for mobile work.
• 30 days of annual leave, plus company holidays between Christmas and New Year.
• Free access to our in-house physiotherapy center, VBB ticket, JobRad, sabbatical options, a company restaurant with discounted meals, pension plan, and more.
• Comprehensive and structured training and onboarding to support your success.

If you're ready to take on an exciting challenge in the field of NLP and LLM, we’d love to hear from you!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting and Software Development