GenAI Data Scientist at Ericsson

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Genai, Data Acquisition, Data Preparation, Model Development, Experimentation, Coding, Implementation, Evaluation, Validation, Collaboration, Communication, Python, TensorFlow, Pytorch, Scikit-learn, Cloud Providers, Data Handling

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. Being a student in BSc or MSc in Computer Science, Electrical Engineering or Telco Engineering. Experience in Programming Skills using Python as well as experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. GenAI Expertise: Solid understanding of GenAI concepts LLMs, prompt engineering, and Agentic Frameworks. Data Handling: Expertise in data manipulation, cleaning, and preprocessing techniques. Model Building & Training: Ability to select and finetune GenAI models using appropriate frameworks and techniques. Knowledge Sharing and Collaboration/Communication Skills. Good English Level (Multi site project where English is a vehicular language). Experience in Cloud providers (Azure, AWS) and Codding Buddy Tools - nice to have! The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: Hungary (HU) || Budapest Req ID: 777703

Responsibilities

The GenAI Data Scientist will detail GenAI use cases aligned with business needs, gather and preprocess data, and design and train GenAI models. They will also evaluate model performance and collaborate with cross-functional teams to communicate technical findings.