Machine Learning Engineer

Asenium Consulting; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Asenium Consulting is seeking a Machine Learning Engineer to productionize scalable and reliable ML solutions. You will deploy models in production environments, build ML-focused CI/CD pipelines, and collaborate with data scientists and data engineers on model deployment and data transformation.

This role emphasizes monitoring, performance optimization, and the development of reusable Python code. You will contribute to model retraining automation and MLOps practices, and you will implement

Qualificações

• 3+ years of experience in machine learning.
• Strong Python skills, including OOP, design patterns, project structuring, and testing with pytest or unittest.
• Strong SQL skills for data querying and manipulation.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience with AWS, GCP, or Azure for ML workloads.
• Experience building CI/CD pipelines using GitHub Actions or Jenkins.
• Experience deploying models with Docker or Kubernetes.
• Familiarity with model optimization, compression, monitoring, and ML versioning practices.
• Experience developing model-serving APIs with FastAPI or Flask.
• Understanding of Git workflows, pull requests, and code reviews.
• English proficiency at B2 level or higher.

Responsabilidades

• Deploy and manage machine learning models in production environments.
• Build and maintain ML-focused CI/CD pipelines.
• Monitor model performance, failures, and operational metrics, implementing appropriate alerting.
• Develop clean, maintainable, reusable, and testable Python code.
• Collaborate with data scientists and data engineers on model deployment and data transformation.
• Optimize model response times, production performance, and operational efficiency.
• Contribute to model retraining automation and the progressive development of MLOps practices.

Conhecimentos

Machine learning

Python

SQL

CI/CD

Model deployment

MLOps

Code testing

English

Ferramentas

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

GitHub Actions

Jenkins

FastAPI

Flask

pytest/unittest

Descrição da oferta de emprego

We are looking for a Machine Learning Engineer to productionize scalable and reliable ML solutions.

Responsibilities:

• Deploy and manage machine learning models in production environments.
• Build and maintain ML-focused CI/CD pipelines.
• Monitor model performance, failures, and operational metrics, implementing appropriate alerting.
• Develop clean, maintainable, reusable, and testable Python code.
• Collaborate with data scientists and data engineers on model deployment and data transformation.
• Optimize model response times, production performance, and operational efficiency.
• Contribute to model retraining automation and the progressive development of MLOps practices.

Must-have requirements:

• 3+ years of experience in machine learning.
• Strong Python skills, including OOP, design patterns, project structuring, and testing with pytest or unittest.
• Strong SQL skills for data querying and manipulation.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience with AWS, GCP, or Azure for ML workloads.
• Experience building CI/CD pipelines using GitHub Actions or Jenkins.
• Experience deploying models with Docker or Kubernetes.
• Familiarity with model optimization, compression, monitoring, and ML versioning practices.
• Experience developing model-serving APIs with FastAPI or Flask.
• Understanding of Git workflows, pull requests, and code reviews.
• English proficiency at B2 level or higher.