ML Engineer - Deep Learning & Production ML (Hybrid)

Smadex; Barcelona; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Private Health Insurance

Meal vouchers

Gym allowance

Learning access LinkedIn Learning

Remote work 2 days/week

Team events

Job summary

Smadex, a leading ad-tech company based in Barcelona, seeks an ML Engineer to join our team. You will contribute to architectural decisions and build scalable ML models, with a focus on deep learning and real-world data analytics.

You will work across data science and engineering to deploy end-to-end solutions, tackle advanced modeling challenges, and deliver insights to stakeholders. A Master’s degree and strong ML background are preferred.

Qualifications

• Proficiency in Python/Scala/Java for ML/DS tasks.
• Strong understanding of ML/DL algorithms and modeling techniques.
• Experience with data warehousing and SQL.
• Ability to work in a cross-functional, fast-paced environment.

Responsibilities

• Contribute to architectural decisions and develop ML models, especially deep learning models.
• Design, implement, and evaluate predictive models and analytics solutions.
• Combine ML science with data engineering to deploy end-to-end scalable pipelines.
• Analyze data from multiple sources to provide actionable insights for business and engineering teams.
• Tackle modeling challenges like sparse positives and labeling delays.

Skills

Python

Scala/Java

SQL

Machine Learning

Deep Learning

Statistics

Data Warehousing

Big Data

Communication

English

Education

Master’s degree in ML/AI/Statistics/Applied Math/CS

Tools

Git

Bitbucket

Jupyter

Spark

AWS

Linux

Job description

Smadex, a leading ad-tech company based in Barcelona, seeks an ML Engineer to join our team. You will contribute to architectural decisions and build scalable ML models, with a focus on deep learning and real-world data analytics.

You will work across data science and engineering to deploy end-to-end solutions, tackle advanced modeling challenges, and deliver insights to stakeholders. A Master’s degree and strong ML background are preferred.