Service Delivery Intern at Ericsson

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

03 Apr, 26

Salary

0.0

Posted On

03 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Artificial Intelligence, Generative AI, Deep Learning, Natural Language Processing, Cloud Platforms, Docker, Kubernetes, Version Control, Software Architecture, MLOps, Agile, HTML, CSS, Java

Industry

Telecommunications

Description

Grow with us Service Delivery Intern Location: Toronto, ON. Duration: 4 months Start date: May 4th, 2026 Please upload your unofficial transcript when applying. (Use the "Cover letter" uploading tab.) Please indicate in your resume or a cover letter how many months you are available for. At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position. About this opportunity: We are looking for a summer intern with aspiration in gaining experiences in software development, System Integration, Solution Architecture, Artificial Intelligence and Machine learning, and Generative AI. In this role you will be working with a dynamic team and your mentor and responsible for scoping, defining and designing solution offerings and driving customized technical solutions based on customer specifications, business needs, and cutting-edge technologies. Join our Team You will do: Understands the overall concept of the company, including the brand, customer, product goals, and all other aspects of service. Learns and becomes proficient on internal software systems. Works closely with the design leadership to generate design alternatives. Work closely with team to communicate project needs. Help ensure the best possible performance, quality, and responsiveness of applications by identifying any observed bottlenecks and bugs, and suggesting solutions / technical alternatives to mitigate and address these issues; Make recommendations towards the development of new code or reuse of existing code, and improve/streamline processes and systems. Support projects through entire Software Development Lifecycle (SDLC) by participating in the requirements analysis and research gathering process, and/or writing documentation such as technical specifications, user guides, and other forms of documentation. Interact with team members (end-users, testers, distributors, analysts and project/release managers) in a team-oriented fashion. Follow software development methodologies and best practices. Involving in cutting-edge initiative projects using AI/ML, Generative AI technologies Performing Model Development, Data Preparation, Model Training, Integration, Model evaluation and optimization. Documentation: Document the development process, model architecture, and deployment procedures to ensure knowledge transfer and reproducibility. You will bring: Enrolled in an undergraduate or graduate degree program in computer science Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, and Ericsson Language Intelligence (ELI) Strong understanding of deep learning algorithms and architectures, particularly in the context of generative models like GPT, GANs, and VAEs. Experience with natural language processing (NLP), or other AI subfields relevant to generative tasks. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes) for model deployment. Experience with version control systems (e.g., Git) and collaborative development tools. Solid understanding of software architecture principles, including microservices, API design, and data architecture. Familiarity with MLOps practices and tools for AI model deployment, monitoring, and lifecycle management. Familiarity with Cloud native, Kubernetes, Cassandra Database, and proven experience developing using Java and Python scripts. Understanding of Design Patterns and Object-Oriented Concepts. Familiarity with the software development lifecycle (SDLC), including requirements analysis, development, production deployment and maintenance; Experience or understanding of working in an Agile environment. Familiar with Artificial Intelligence, Machine Learning, Generative AI concepts, Algorithms and data processing. Experience or familiarity with the CI/CD, Test Automation Experience with HTML/CSS, JSON Requests, and Responsive Web Development is a definite PLUS. Experience in frontend development language such as Angular, React is a definite PLUS. Ability to function well in a collaborative, team-oriented environment. Eligibility requirements: 2.7+ GPA or equivalent , Uploading an unofficial copy of your transcript Actively enrolled in an accredited undergraduate, master's, or PhD on a full-time basis at a four-year college or university at the time of the co-op/internship Be available to work 40 hours per week What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives 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. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: Canada (CA) || Toronto Job details: Integration Engineer Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary offered is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.

Responsibilities

The intern will work with a dynamic team to scope, define, and design solution offerings while driving customized technical solutions based on customer specifications. They will also support projects through the entire Software Development Lifecycle (SDLC) and document the development process.