R&D Engineer - AI Studio

Nokia; Ottawa; On-site; CAD 70,000 - 100,000; Full time

Job summary

A leading technology firm is seeking an Applied R&D Engineer to enhance products through targeted research and innovation. This role involves software and data engineering, where you will work on cloud technologies and collaborate with cross-functional teams. Ideal candidates will possess a Bachelor's degree and skills in data governance and various programming languages, contributing to both platform and pipeline development in a dynamic environment.

Qualifications

• 1-3 years of experience in developing enterprise software or cloud platforms.
• Familiarity with MLOps workflows and LLM deployment is a plus.
• Desire to learn and grow in the telecom AI space.

Responsibilities

• Assist in implementing data onboarding processes and maintain the semantic layer.
• Help design and maintain pipelines for data processing.
• Collaborate on integrating data lakehouse solutions for analytics.

Skills

Cloud platforms

Data governance

Programming (Python, Java, Go)

Data processing frameworks

Communication

Collaboration

Education

Bachelor's degree in Computer Science

Data Engineering

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

• 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 workflow. 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 combinations 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.