Machine Learning Engineer at Datrix
Lavoro da casa, EMR, Italy -
Full Time


Start Date

Immediate

Expiry Date

16 Aug, 25

Salary

0.0

Posted On

16 May, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Reliability, Django, Python, Google Cloud Platform, Unsupervised Learning, Production Systems

Industry

Information Technology/IT

Description

Job Description
This is a remote position.
At ByTek, we believe in the transformative power of machine learning and data-driven platforms to empower businesses with predictive capabilities. Our company represents the MarTech division of the Datrix Group, an international ecosystem of B2B software companies powered by artificial intelligence and listed on the Italian stock exchange.
We design and deliver cutting-edge AI tools, including the Bytek Prediction Platform, to help organizations leverage their first-party data for smarter marketing and sales strategies.
We partner with top-tier banks, brands, and retailers in Italy and abroad, helping them harness the full potential of their data through scalable, AI-driven platforms. Our engineering culture is remote-first and collaborative, with hubs in Milan and Viterbo (Italy), New York (USA), and Dubai (UAE).
Join Bytek (Datrix Group) as a Machine Learning Engineer and help build our AI-powered Bytek Prediction Platform. You’ll develop and deploy ML models to optimize marketing and sales for major clients. We seek 3+ years of Python/Django experience, GCP skills, and a passion for applying machine learning to real-world problems.

Responsibilities
  • Prototype predictive models and integrate them into our Django-based CDP platform to support features such as user scoring, segmentation, and automated targeting.
  • Design and develop scalable machine learning pipelines with a focus on feature engineering, model training, evaluation, and monitoring.
  • Deploy ML models using Google Cloud Platform tools including Cloud Run for containerization and Cloud SQL for relational data management.
  • Collaborate across teams (data science, backend, product) to turn business requirements into production-grade AI solutions.Implement CI/CD pipelines with CI/CD tools to automate tests and deployment workflows.
  • Stay up to date with the latest developments in deep learning, MLOps, and scalable data infrastructure.
Loading...