Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Data Scientist at Ericsson

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Predictive Analytics, Classification, NLP, Large Language Models, Data Analysis, AWS, SageMaker, Glue Jobs, Lambda Functions, Data Lakes, Data Pipeline, Data Modeling, Software Testing, Statistical Graphics

Industry

Telecommunications

Description

Design and implement machine learning and deep learning models for predictive analytics and classification tasks. Develop and fine-tune NLP solutions, including working with Large Language Models (LLMs). Perform advanced data analysis to uncover insights and support strategic decision-making. Build and deploy models using AWS services such as SageMaker, Glue Jobs, Lambda Functions, and others. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver impactful solutions. - Data Lakes. - Software Deployment. - User Acceptance Testing (UAT). - Statistical Graphics. - Data Quality. - Data Solution Roadmap Support. - Data Maintenance. - Data Pipeline. - Data Modeling. - Software Testing. - ITIL. 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: 774364

Responsibilities

Design and implement machine learning and deep learning models for predictive analytics and classification tasks. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver impactful solutions.