Nokia is looking to solve the problem of designing, implementing, and maintaining cutting-edge data and AI infrastructure to enable seamless data processing, governance, and integration for their next generation products.
Requirements
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and hybrid compute architectures.
- Basic understanding of data governance, lineage, and quality management.
- Exposure to MLOps workflows and LLM deployment is a plus
- Hands-on experience with programming languages like Python, Java, or Go.
- Familiarity with data processing frameworks (e.g., Apache Spark, Kafka, Flink) is desirable.
- Bachelor’s degree in Computer Science, Data Engineering, or related fields (or equivalent work experience).
- 1-3 years of experience in developing enterprise software, data engineering, cloud platforms, or related field
Responsibilities
- Assist in implementing dynamic data onboarding processes and maintaining the semantic layer exposed to the data catalog.
- Contribute to the integration of data governance policies to ensure compliance with regulatory and business requirements.
- Help design and maintain pipelines for real-time and batch data processing, supporting MLOps and LLM workflow.
- Collaborate with senior team members to optimize compute environments for hybrid deployments (on-premise and cloud).
- Work on integrating data lakehouse solutions for scalable analytics.
- Learn and contribute to data mesh principles to enable seamless data combinations for various use cases.
- Assist in ensuring continuous delivery (CD) readiness for platform updates and deployments.
Other
- Excellent communication and collaboration skills with a desire to learn and grow in the telecom AI space.
- Bachelor’s degree in Computer Science, Data Engineering, or related fields (or equivalent work experience).
- 1-3 years of experience in developing enterprise software, data engineering, cloud platforms, or related field
- Support senior engineers in collaborating with cross-functional teams, including product management and architecture.
- Participate in customer engagements to understand and solve industry-specific pain points.
