Software/Data Engineer (all gender)
Job Description
YOU...
- work directly with science and engineering teams to develop systems that enable provably correct AI reasoning with Large Language Models (LLMs)
- build a system that automatically generates annotated data using an existing reasoning engine (such as an AI planner, simulator, or proof planner)
- manage large-scale data annotations and automate pre- and post-processing pipelines, including overseeing data lake management in S3 and handling compute resources
- develop pipelines for training and fine-tuning LLMs using annotated data
- build a flexible experimental test harness capable of running experiments across multiple domains with minimal adaptation
- actively participate in scrum development within an international team across Berlin, Boston and Seattle
Qualifications
YOU...
- have a Master’s degree in Statistics, Data Science, Computer Science, or a related quantitative field
- have strong knowledge of machine learning frameworks and tools (e.g., PyTorch, TensorFlow, Keras, SageMaker ecosystem)
- have proven experience in scripting for automation (e.g., Python) and advanced SQL skills
- have hands-on experience with Cloud Storage and Computing technologies
- have experience training and deploying deep learning and machine learning models
- haver elevant experience in Analytics and Data Engineering (DE), with a demonstrated track record of increasing responsibility
- have the ability to independently lead end-to-end insight projects, including formulating the right questions, managing complex datasets, iterating on findings, and providing strategic guidance and actionable recommendations to engineering teams
- are highly proficient in English; German is a plus
We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion / belief, disability, age and sexual orientation and identity.
Severely disabled persons will be given preferential consideration if they are equally qualified.
Do you have any questions?
Then contact me : Maja Quarantelli (Tel. : +4940822123627).
Or apply now using our online application form.
Additional Information
- Talent Management - we develop your career
- Work life balance - flexible working hours and mobile working possible
- Fit and relaxed - with EGYM Wellpass
- Enjoy biking always on tour with bike leasing
- Green Mobility - with us you can travel at a reduced rate
- and of course we offer the usual standards such as 30 days' holiday, many events, permanent employment contract and corporate benefits.
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