Senior AI Engineer developing AI solutions for language processing and Big Data. Engaging in client projects and advanced AI technologies to enhance operational capabilities and integration.
Responsibilities
Comprehensive consulting of our clients in the field of AI for designing their systems, processes and development workflows
Designing, developing and operating cloud and on-premise software systems in the areas of AI and Big Data, in particular LLM-based solutions
Selecting, integrating and training deep learning models
Advising on the selection of technology stacks
Converting models into high-performance, production-ready software systems
Presenting and communicating within AI contexts
Conducting design and code reviews
Requirements
Several years of professional experience or a PhD
Degree in Computer Science or a technical field with an IT background, or an equivalent qualification
Experience with PyTorch or TensorFlow, ideally with LLMs, speech recognition, NLP or image recognition
In-depth knowledge of current deep learning methods and architectures
Extensive experience in Python and at least one other programming language such as Rust, Kotlin, C#, Swift or Java
Knowledge and experience in software development methodologies
Knowledge of Big Data architectures and technologies such as Hadoop, Spark, Storm, Flink, Kafka, Elasticsearch, Cassandra, Neo4j and other NoSQL databases is an advantage
Solid mathematical and algorithmic understanding
Experience with Docker
Experience with Kubernetes and OpenShift is a plus
Familiarity with common cloud platforms and technologies
Independent, goal-oriented and methodical working approach
High level of initiative and ability to learn quickly
Strong communication and teamwork skills
Excellent German and English skills, both written and spoken
Benefits
Challenging, conceptual tasks
Plenty of room for creativity and taking on responsibility in a varied role
Individual support to develop your potential
Personal support during the onboarding phase for a smooth start
Excellent working atmosphere in a motivated team with modern office equipment
Flexible working hours and home office options
Compatibility of family and career
Relocation assistance
Participation in the success of a fast-growing startup
Work–life balance, e.g. sabbatical, health and fitness offerings
Significant freedom and opportunities to actively shape the company
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