AI Engineer (all genders)
- Work closely with customers and cross-functional teams to identify and develop suitable AI use cases , ensuring seamless integration of AI solutions in software systems.
- Demonstrate strong data engineering skills , including data pipeline development , data warehousing, and ETL processes , to ensure the efficient handling and processing of large datasets for AI applications.
- Preprocess and analyze data to support AI model development. Visualize data to detect patterns and ensure quality, leveraging skills in data analysis and statistics.
- Conceptualize and develop AI-based software solutions in an agile environment utilizing expertise in machine learning and software engineering.
- Monitor AI solutions to ensure continuous performance.
- Stay updated with the latest AI developments and promote AI initiatives by sharing expertise and insights with teams and communities.
- Assist in technical sales efforts.
- A degree or experience in computer science with a specialization in AI .
- Strong knowledge of AI technologies, data analysis, and statistics .
- You have well-founded programming skills in at least one of the prominent AI programming languages , e.g. python, Julia, or C++ and libraries such as torch, numpy, pandas, spark.
- You are familiar with different technologies of the AI ecosystem and use it strategically, e.g. Amazon SageMaker, Azure Data Studio, Databricks, MLflow.
- You live high quality – this includes an understanding of software architectures as well as an affinity for conceptual clarity , design patterns and code reviews .
- You have the ambition to constantly develop yourself further, e.g. via internal tech talks, cross-team communities, conferences, research etc.
- You communicate openly and honestly , give constructive criticism, accept feedback and always want to develop yourself personally.
- Your language skills enable you to perform your role in German and English .
- Open corporate culture based on partnership
- Flat hierarchies
- Great creative leeway
- Highly complex tasks
- Diverse high-tech industries
- Discerning and renowned customers
- Interdisciplinary teams on equal terms
- Exchange of knowledge between individual experts
- Decisions are taken on a team basis
- Work with the latest technologies
- Internal tech talks, external training courses and conferences
- Mentoring program with regular feedback
- Different models for reconciling family and professional life
- Flexibility in working hours
- Participation in childcare costs
- We welcome diversity
- We are committed to life story, generational and gender equality
Tel. +49 821 885882-0
[email protected]
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