R&D Engineer - AI Studio

Nokia; Ottawa; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a driven Applied R&D Engineer to bridge research and real-world applications. This role offers the chance to work on cutting-edge data and AI infrastructure, ensuring seamless data processing and governance. You will engage in collaborative projects, supporting the design of scalable solutions while gaining hands-on experience with modern data engineering principles. This innovative environment encourages growth and learning, making it an exciting opportunity for those passionate about technology and data integration.

Qualifications

• 1-3 years of experience in developing enterprise software and data engineering.
• Familiarity with cloud platforms and hybrid compute architectures.
• Hands-on experience with programming languages like Python, Java, or Go.

Responsibilities

• Support the design and maintenance of data and AI infrastructure.
• Assist in implementing data onboarding processes and data governance.
• Collaborate with teams to optimize compute environments for hybrid deployments.

Skills

Python

Java

Go

Data Governance

MLOps

Cloud Platforms (AWS, Azure, GCP)

Data Processing Frameworks (Apache Spark, Kafka, Flink)

Collaboration Skills

Education

Bachelor’s degree in Computer Science

Equivalent work experience

Tools

AWS

Azure

GCP

Apache Spark

Kafka

Flink

Job description

Are you a driven engineer who thrives on applying research to real-world solutions? Do you enjoy the challenge of translating theoretical findings into tangible products and services? If so, we invite you to join our team as an Applied R&D Engineer. In this role, you will conduct targeted research to directly impact the specification, design, development, and improvement of our products, services, systems, tools, and processes. You will integrate, verify, test, and modify software, hardware, and system components, leveraging innovative solutions to meet specific requirements and specifications. We encourage you to apply and join our team of passionate engineers who are making a difference.

Qualifications

• 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.
• 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.
• Excellent communication and collaboration skills with a desire to learn and grow in the telecom AI space.

Responsibilities

You will support the design, implementation, and maintenance of cutting-edge data and AI infrastructure, enabling seamless data processing, governance, and integration for Nokia’s next generation products. This is an opportunity to gain hands-on experience with modern data engineering principles while working in a collaborative and innovative environment.

Platform Development Support

• 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.

Data Infrastructure & Compute Pipelines

• Help design and maintain pipelines for real-time and batch data processing, supporting MLOps and LLM workflows.
• Collaborate with senior team members to optimize compute environments for hybrid deployments (on-premise and cloud).

Data Lakehouse & Mesh Implementation

• Work on integrating data lakehouse solutions for scalable analytics.
• Learn and contribute to data mesh principles to enable seamless data integrations for various use cases.

Collaboration & Stakeholder Engagement

• 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.

Continuous Delivery & Operational Excellence

• Assist in ensuring continuous delivery (CD) readiness for platform updates and deployments.
• Contribute to modular and flexible solutions by maintaining clear metadata and content separation.