Part-Time ML Engineer: Build & Deploy Smart Models

PPOAR

Funchal

On-site

EUR 28,000 - 41,000

Part time

14 days+
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

PPOAR is seeking a part-time Machine Learning Engineer in Funchal, Portugal. The role focuses on data cleaning, feature engineering, model training, evaluation, and deployment in production. Collaboration with data scientists and software engineers is essential for project success.

The ideal candidate has 2+ years of ML experience, strong Python or R skills, and familiarity with frameworks like TensorFlow or PyTorch. This position is part-time with no accommodation provided.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Minimum of 2 years of experience in machine learning engineering.
  • Strong proficiency in Python or R.
  • Experience with TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with SQL and data preprocessing.

Responsibilities

  • Collaborate with data scientists to understand project requirements and goals.
  • Collect, clean, preprocess and analyze data from various sources.
  • Develop and deploy machine learning models using industry-standard frameworks and tools.
  • Monitor model performance and make necessary adjustments to improve accuracy.
  • Communicate results and insights to stakeholders in a clear and understandable manner.

Skills

Python
R
Data cleaning
Problem-solving

Education

Bachelor's or Master's in Computer Science or Data Science

Tools

TensorFlow
PyTorch
scikit-learn
SQL

Job description

PPOAR is seeking a part-time Machine Learning Engineer in Funchal, Portugal. The role focuses on data cleaning, feature engineering, model training, evaluation, and deployment in production. Collaboration with data scientists and software engineers is essential for project success.

The ideal candidate has 2+ years of ML experience, strong Python or R skills, and familiarity with frameworks like TensorFlow or PyTorch. This position is part-time with no accommodation provided.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Part-Time Machine Learning Engineer (Funchal, Portugal)
Part-Time Machine Learning Engineer (Funchal, Portugal)

PPOAR • Funchal

On-site
EUR 28,000 - 41,000
Part-Time ML Engineer in Lisbon — Data-Driven Solutions
Part-Time ML Engineer in Lisbon — Data-Driven Solutions

Flyper • Lisboa

On-site
EUR 23,000 - 32,000
Part-Time Machine Learning Engineer for Cutting-Edge AI
Part-Time Machine Learning Engineer for Cutting-Edge AI

GulfStream Media UAE • Funchal

Hybrid
EUR 15,000 - 18,000
Accommodation provided
Part-time salary
Collaborative environment
+1
Part-Time Machine Learning Engineer
Part-Time Machine Learning Engineer

GulfStream Media UAE • Funchal

Hybrid
EUR 15,000 - 18,000
Accommodation provided
Part-time salary
Collaborative environment
+1
Part-Time ML Engineer - Flexible Schedule & Accommodation (Porto)
Part-Time ML Engineer - Flexible Schedule & Accommodation (Porto)

BrightMark GmbH • Porto

On-site
EUR 14,000 - 18,000
Accommodation provided
Part-Time ML Engineer – Entry Level (Funchal)
Part-Time ML Engineer – Entry Level (Funchal)

ShieldPro Protection • Funchal

On-site
EUR 14,000 - 19,000
Competitive salary
Visa sponsorship and travel ticket
Machine Learning Engineer - Part Time (Lisbon, Portugal)
Machine Learning Engineer - Part Time (Lisbon, Portugal)

WealthGuard USA • Lisboa

Hybrid
EUR 30,000 - 50,000
Accommodation provided
ML Engineer in Porto - Build Impactful Models
ML Engineer in Porto - Build Impactful Models

SynerData • Porto

On-site
EUR 14,000 - 19,000
Machine Learning Engineer – Build Next-Gen Models in Porto
Machine Learning Engineer – Build Next-Gen Models in Porto

Want More • Porto

On-site
EUR 14,000 - 19,000
Part Time Machine Learning Engineer
Part Time Machine Learning Engineer

BrightMark GmbH • Porto

On-site
EUR 14,000 - 18,000
Accommodation provided