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- Aufgaben: Join our team to develop AI systems and manage large-scale data annotations.
- Arbeitgeber: ALTEN is a global leader in engineering and IT services, shaping the future with innovation.
- Mitarbeitervorteile: Enjoy flexible working hours, mobile work options, 30 days of vacation, and corporate perks.
- Warum dieser Job: Be part of an international team tackling exciting challenges in AI and data engineering.
- Gewünschte Qualifikationen: Master’s degree in a quantitative field and strong skills in machine learning and automation required.
- Andere Informationen: Diversity is valued; all applications welcome regardless of background.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
ALTEN
Leader in Engineering and IT Services, ALTEN supports its customers’ development strategies in the areas of innovation, R&D and technological information systems.
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
- have relevant 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
- 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.
#J-18808-Ljbffr
Software/Data Engineer (all gender) Arbeitgeber: Aitopics
Kontaktperson:
Aitopics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Software/Data Engineer (all gender)
✨Tip Number 1
Familiarize yourself with the specific machine learning frameworks mentioned in the job description, such as PyTorch and TensorFlow. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during interviews.
✨Tip Number 2
Engage with the international teams at ALTEN by participating in relevant online forums or communities. This can help you understand their work culture and possibly connect with current employees who can provide insights into the role and the company.
✨Tip Number 3
Prepare to discuss your previous projects that involved data engineering and machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Since the role involves working in a scrum environment, brush up on agile methodologies. Understanding how scrum works will help you integrate smoothly into the team and show that you're ready to collaborate effectively from day one.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software/Data Engineer (all gender)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Software/Data Engineer position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning frameworks, data engineering, and automation scripting. Provide specific examples of projects where you have successfully applied these skills.
Showcase Your Education: Mention your Master’s degree in a relevant field prominently in your application. If you have any additional certifications or training related to data science or machine learning, include those as well.
Personalize Your Application: Address your cover letter to Maja Quarantelli and express your enthusiasm for the role and the company. Mention why you are interested in working at ALTEN and how you can contribute to their innovative projects.
Wie du dich auf ein Vorstellungsgespräch bei Aitopics vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like PyTorch and TensorFlow. Highlight specific projects where you utilized these tools, especially in relation to AI reasoning and data management.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've independently led insight projects. Discuss the challenges you faced, how you formulated questions, and the strategic recommendations you provided to engineering teams.
✨Familiarize Yourself with Cloud Technologies
Since the role involves managing data lakes and cloud computing, be ready to talk about your hands-on experience with these technologies. Mention any specific platforms you've worked with, such as AWS S3.
✨Engage in Team Dynamics
As the position requires active participation in scrum development, think of examples that showcase your teamwork skills. Be ready to discuss how you collaborate with international teams and adapt to different working styles.
