1 geprüfter KI-Job in Herzogenrath

Anforderungen

Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or related field 6+ years of professional software development experience with demonstrated technical leadership using Python, C++ and Java 4+ years of data engineering experience with expertise in pipeline architecture and large-scale data processing 3+ years of hands-on AI/ML development in production environments Advanced Python proficiency with expertise in data and ML libraries Deep expertise with distributed data processing (PySpark, Apache Spark) Strong knowledge of relational, non-relational, and vector databases Experience with REST APIs, gRPC, Kafka, and event-driven architectures Proven ability to design and own complex technical initiatives Experience leading technical teams and mentoring engineers Excellent English communication skills We also hope to see the following characteristics in you: You are passionate about building reliable, scalable data and AI systems You have a systems-thinking mindset and understand complex architectures You are committed to mentoring and helping engineers grow You continuously push for technical excellence and code quality You are curious about emerging data and AI technologies You have strong leadership presence and can inspire teams You balance pragmatism with long-term technical vision You care about security and scalability You thrive in diverse, international, collaborative teams Additional beneficial experience: Knowledge of modern data stacks and data warehouse architectures Experience with vector databases and semantic search Experience applying Generative AI (GenAI), large language models, knowledge graphs, and retrieval-augmented generation (RAG) to solve real-world problems MLOps tools and model lifecycle management Docker, Kubernetes, and container orchestration CI/CD pipeline architecture Data governance and privacy regulations (GDPR) Cloud platform experience (AWS, Azure, GCP) Telecom or networking background What s in it for you? Lead data and AI infrastructure for 5G networks connecting billions of people globally. Shape technical direction, mentor talented engineers, and solve complex challenges at the cutting edge of data and AI technology.

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems.

You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that s why we champion it in everything we do.

We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Germany (DE) | Req ID: 793803

Zur Position

Our Exciting Opportunity We are seeking a Senior AI/ML and Data Engineer to lead the design and implementation of scalable data platforms and AI/ML systems for Ericsson s 5G networks. You will own end-to-end data architecture and drive technical strategy while mentoring engineers and establishing best practices. You will join a diverse international AI development team where your technical leadership will be critical in building robust data platforms.

You will lead technical design reviews, mentor junior and mid-level engineers, and collaborate across teams. You will Lead the design and architecture of large-scale data platforms supporting AI/ML workloads Lead the full data pipeline lifecycle—from ingestion and ETL to real-time streaming (Kafka, REST/gRPC) Design scalable data processing solutions leveraging distributed computing architectures Lead AI/ML model development from feature engineering through production deployment and monitoring Architect data storage solutions across SQL, NoSQL, and vector databases Establish data quality, governance, and privacy frameworks Drive MLOps strategy, including model evaluation, deployment automation, and monitoring Lead technical design reviews and establish architectural patterns Mentor senior and mid-level engineers, fostering technical growth Collaborate with cross-functional teams on scalable solutions To be successful in the role you