SoftwareData Engineer all gender
SoftwareData Engineer all gender
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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 largescale data annotations and automate pre and postprocessing pipelines including overseeing data lake management in S3 and handling compute resources
- develop pipelines for training and finetuning 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 Masters 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 handson 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 endtoend 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.:).
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
