Senior AI/ML and Data Engineer (m/f/d)

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 must have

• 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