Software/Data Engineer (all gender)

Company Description

We are the designers of today for the world of tomorrow.

As one of the world's leading engineering service providers, we at ALTEN are committed to positively shaping the future of our partners, the careers of our employees and the challenges facing our society and environment. 

More than 50,000 employees in 30 countries are already working on innovative solutions in various engineering and IT sectors such as automotive, aerospace, renewable energy, medical technology and railway technology.

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.