Lisbon: Junior Machine Learning Engineer

Pixel Innovations; Lisboa; On-site; EUR 8,900 - 12,000; Full time

Benefits offered by this job

Relocation assistance

Accommodation provided

Competitive salary package

Job summary

Pixel Innovations in Lisbon is seeking a Junior Machine Learning Engineer to help develop and implement models that support our data-driven initiatives. You will collaborate with cross-functional teams to identify ML opportunities and analyze large datasets for meaningful insights.

The role requires a strong ML background, programming in Python or R, and experience with visualization tools. Relocation assistance and accommodation are provided for the right candidate.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field.
• Minimum of 1 year of experience in developing and implementing machine learning algorithms.
• Proficient in programming languages such as Python, R or Java.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills with a keen attention to detail.

Responsibilities

• Develop and implement machine learning algorithms and models for various projects.
• Collaborate with cross-functional teams to identify opportunities for utilizing machine learning techniques.
• Analyze large datasets to extract meaningful insights and patterns.
• Optimize existing machine learning models to improve accuracy and performance.
• Stay up-to-date with the latest developments in the field of machine learning.

Skills

Python

R

Java

Data visualization

Education

Bachelor's or Master's in CS/Math/Stats

Tools

Tableau

Power BI

TensorFlow

PyTorch

Job description

Pixel Innovations in Lisbon is seeking a Junior Machine Learning Engineer to help develop and implement models that support our data-driven initiatives. You will collaborate with cross-functional teams to identify ML opportunities and analyze large datasets for meaningful insights.

The role requires a strong ML background, programming in Python or R, and experience with visualization tools. Relocation assistance and accommodation are provided for the right candidate.