AI Data Engineer (m / f / d) - with salary details

Covestro Deutschland AG; Leverkusen; Vor Ort; EUR 87.000 - 106.000; Vollzeit

Zusammenfassung

Join a leading company in chemical material solutions as a Machine Learning Engineer. In this role, you will support AI projects, develop LLM pipelines, and collaborate with cloud architects. The position offers an attractive salary and diverse benefits, fostering a healthy work-life balance.

Leistungen

Flexible working hours

Family-work compatibility

Active health promotion

Retirement savings options

Qualifikationen

• Master's degree or equivalent industry experience required.
• Strong Python skills for data and ML pipelines.
• Experience with deep learning frameworks and MLOps.

Aufgaben

• Support ongoing and future projects in AI.
• Develop and maintain chemical LLM pipelines.
• Collaborate with cloud architects for automation.

Kenntnisse

Python

Deep Learning

MLOps

Natural Language Processing

Communication

Ausbildung

Master's degree in computer science

Tools

PyTorch

HuggingFace Transformers

AWS

Terraform

Jobbeschreibung

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now, and together we will make the world a brighter place.

The Digital R&D (DRD) organization at Covestro is responsible for innovative digital solutions for the development of chemical products and applications. Our experts work in material simulations, computational chemistry, laboratory automation, R&D data science, high-performance computing, and quantum computing. The department is expanding its team of scientists and software developers to harness new possibilities of artificial intelligence for chemical and materials science research. We aim to use large language models to gain insights from unstructured data sources (such as research reports or regulatory texts) and to support the chemical research process with AI and creativity.

In addition to our diverse benefits, you can expect an attractive starting salary between €87,200 and €105,900 per year, plus a variable component if you work full-time. The salary depends on your qualifications and experience.

In this role, you will:

1. Support ongoing and future projects in AI.
2. Analyze business and project requirements to identify relevant data and tools for LLMs, AI models, and applications.
3. Develop, maintain, and automate chemical LLM pipelines.
4. Create, maintain, and automate models and methods for accessing confidential information sources from existing LLMs.
5. Maintain and operate existing solutions.
6. Collaborate with cloud architects to automate, maintain, and monitor pipeline solutions.

What you bring to the job:

Required:

• Master's degree in computer science, machine learning, AI, or a related field, or equivalent industry experience in ML engineering or model development.
• Strong Python programming skills, emphasizing clean, efficient, and modular code for data and ML pipelines.
• Hands-on experience with deep learning frameworks like PyTorch and HuggingFace Transformers, including model customization and fine-tuning.
• Solid understanding of MLOps principles, including model versioning, CI/CD, model monitoring, and lifecycle management.
• Experience with modern data storage and management architectures, such as OLAP databases, Lakehouse platforms, and Vector Databases.
• Hands-on experience deploying and maintaining cloud-based ML infrastructure, preferably on AWS, including services like Glue, SageMaker, with tools like CDK and Terraform.

Preferred:

• Practical experience in medium to large-scale LLM training (e.g., PyTorch Distributed, DeepSpeed, Horovod, Hugging Face Accelerate).
• Experience designing, executing, and interpreting ML evaluation experiments, including metric tracking, hyperparameter optimization, and error analysis.
• Experience in Natural Language Processing (NLP) and Information Retrieval (IR) is a plus.
• Understanding of basic polymer chemistry principles and interest in applying ML techniques to scientific data processing and discovery.
• Strong communication skills in English, both written and spoken.

If you have questions about the recruiting process, please contact Marek Sierant. Please note we cannot process applications via email.

Perfection is not required!

Even if you do not meet 100% of the requirements but are interested in the position, we welcome your application. If you are curious, courageous, and colorful, join us! We will tackle this together with proper onboarding and tailored development opportunities.

Apply now! We look forward to receiving your application. Become #1ofUs!

Anyone who wants to contribute to a better world with Covestro can expect a lot from us.

We want you to feel at home at Covestro, treated fairly and transparently. This includes financial security, a healthy work-life balance, and generous benefits such as flexible working hours, family-work compatibility, active health promotion, and options to convert part of your salary into long-term or retirement savings.

Find out more about Covestro and our benefits here.

Covestro welcomes applications from all individuals regardless of racial or ethnic origin, skin color, nationality, religion, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation, or gender identity. We are committed to fairness and non-discrimination.

Key Skills

Laboratory Experience, Vendor Management, Design Controls, C / C++, FDA Regulations, Intellectual Property Law, ISO 13485, Research Experience, SolidWorks, Research & Development, Internet Of Things, Product Development

Employment Type: Full-Time

Experience: Years

Vacancy: 1