HubMub
-
emagine

Machine Learning

emagine
Portugal · Full-time · Not Applicable
Contributed to the design and development of AI-driven digital products supporting sustainable and connected transportation for a leading global commercial vehicle manufacturer. Played a key role in building machine learning solutions with a strong focus on MLOps, scalability, and real-world impact.

Key Responsibilities:

  • Led the end-to-end development of an AI-based lead generation system, integrating Large Language Models (LLMs) and Computer Vision techniques to automatically extract and interpret data from heterogeneous sources.
  • Built a web-based interface using FastAPI to facilitate early validation with business stakeholders, followed by successful deployment on Azure Web App for production use.
  • Contributed to the advancement of Generative AI and Vision-Language Models, enhancing their effectiveness for internal marketing and sales automation use cases.
  • Designed, trained, and evaluated machine learning models using Python, PyTorch, and Transformers for image classification, text generation, and multimodal tasks.
  • Implemented MLOps workflows leveraging Azure Machine Learning, Databricks, and MLflow, reducing time-to-deployment and improving reproducibility.
  • Built robust data and ML pipelines using Databricks Asset Bundles (DABs) to ensure safe and structured promotion between dev, staging, and production environments.
  • Automated model validation, packaging, and deployment through GitHub Actions, applying best practices in CI/CD and infrastructure-as-code.
  • Created complex, modular Databricks Workflows to orchestrate data ingestion, model training, evaluation, and inference jobs with improved observability and reliability.
  • Optimized data processing pipelines using PySpark, achieving substantial gains in performance and scalability for large-scale datasets.

Technologies & Tools:

  • Languages & Frameworks: Python, PyTorch, FastAPI, PySpark
  • AI/ML: Transformers, Hugging Face, OpenAI API, Vision Models, LLMs, Generative AI
  • MLOps & Data Engineering: Databricks, MLflow, Azure Machine Learning, Azure Web App, GitHub Actions, Databricks Asset Bundles (DABs), Databricks Workflows
  • Cloud Platforms: Microsoft Azure (Web App, Storage, Compute, Key Vault)
  • Other: CI/CD, REST APIs, Docker (optional if used), Agile development

Key Skills

Ranked by relevance

machine learning ai fastapi pytorch python mlflow mlops cicd computer vision storage docker
Login to Apply
🇵🇹

Country Guide

Portugal

Startup-friendly with strong expat appeal

Posted
May 06, 2025
Type
Full-time
Level
Not Applicable
Location
Lisbon
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
emagine
Related

Senior AI Engineer

2026-05-14

Full-time
Not Applicable
Portugal
IT Services
Engineering
View Job Details
Danske Bank
Related

Senior Machine Learning Engineer

2026-06-04

Full-time
Not Applicable
Lithuania
Financial Services
Engineering
View Job Details
emagine
Related

Python Engineer

2026-05-23

Full-time
Not Applicable
Poland
IT Services
Engineering