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Gen AI & LLM Engineer
(Working Student)
Munich - Germany
About DeepMask
At DeepMask, we are an early stage secure LLM and Gen AI startup founded by an experienced founder team. Our team is building a second layer of Large Language Models (LLMs) that are fine-tuned and customized to an industry and organization's needs. We enable companies to leverage their own internal data to fine-tune LLM models and provide Gen AI capabilities to employees, clients, and customers in a private and data secure environment. Our vision is to empower organizations with industry-specific and data secure Gen AI capabilities.
About the Role
Build and fine-tune the open source LLMs within DeepMask
Build and deploy RAG pipelines for customer use cases together with our tech team
Your role involves working closely with our IT security and server partners, customers and internal teams to research, develop, and implement Gen AI and LLM technologies
You will contribute to bringing secure and private LLM solutions in Germany and Europe
This role offers the opportunity to be at the forefront of Gen AI application with industry-specific use cases
You will directly work with the founding team and mainly with our CTO
Your Tasks
Develop features for DeepMask secure LLM solutions together with our customers
Work on language model fine tuning and usage, focusing on integrating and optimizing these models within our product suite
Monitor the performance of deployed language models, identifying areas for improvement
Evaluate new language model iterations, ensuring they meet our standards
Explore and implement general machine learning use cases to support our customers
Collaborate with the founding team to understand and contribute to the broader goals of the company
Participate in learning opportunities to stay updated with the latest trends and advancements in Gen AI and LLMs
Your Profile
Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field from a reputed university
Strong foundational knowledge in AI, machine learning, and large language models (especially open source), particularly with Llama family models and other LLMs
Demonstrable skills in Python, including experience with popular libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learn
Hands-on experience in fine-tuning pre-trained models like Llama for specific tasks such as natural language processing, classification, and other custom use cases
Familiarity with data preprocessing, augmentation, and preparing datasets for model fine-tuning
Knowledge of optimization techniques, hyperparameter tuning, and model evaluation metrics specific to large language models
Passion for technology and innovation, particularly in the field of Gen AI and LLMs
Ability to work collaboratively in a team environment located in Munich and Nürnberg
Fluency in English and German
What We Offer
A good opportunity to lead and shape the future of fine-tuned and customized LLMs in Germany and Europe
Competitive salary package with additional benefits
Working alongside experienced founders from business and technology background
As a growing team, you will develop together with us and opportunities to join us full-time/founding team member
Empowerment and trust to let you drive your own projects from day one
The Application Process
To apply, please send an email with all the following documents to contact@deepmask.io
Resume/CV and Cover letter
Please provide links to projects created and/or contributed to by you (e.g. Github, Hugging Face or relevant profile links)
LinkedIn Profile link
We look forward to your application.
