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Internship GenAI Developer at Ericsson
Málaga, Andalusia, Spain -
Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

GenAI, Data Acquisition, Model Development, Experimentation, Coding, Implementation, Evaluation, Validation, Collaboration, Communication, Cloud Providers, DevSecOps, Python, Prompt Engineering, Agentic Frameworks, Knowledge Sharing

Industry

Telecommunications

Description
Use Case Grooming: Detail GenAI use cases aligned with business needs and defining scope and objectives. Data Acquisition and Preparation: Gathering, cleaning, and preprocessing data from various sources to ensure quality and suitability for GenAI models. Model Development and Experimentation: Designing, developing, and training GenAI models using appropriate frameworks and techniques, and experimenting with different architectures and hyperparameters. Coding and Implementation: Writing efficient and well-documented code to implement GenAI models and integrate them into existing systems. Evaluation and Validation: Evaluating model performance using relevant metrics, validating results, and iterating on models to improve accuracy and reliability. Collaboration and Communication: Collaborating with cross-functional teams, including engineers, product managers, and business stakeholders, and communicating technical findings and insights effectively. Experience in Cloud providers (Azure, AWS) and Codding Buddy Tools Experience on applied DevSecOps methodologies and tooling. Experience on Python. Experience on Prompt Engineering and basic GenAI Architecture. Knowledge on Agentic Frameworks Communication Skills Knowledge Sharing and Collaboration Skills Good English Level (Multi site project where English is vehicular language)
Responsibilities
The intern will detail GenAI use cases aligned with business needs and define their scope and objectives. They will also gather, clean, and preprocess data, design and train GenAI models, and evaluate model performance.