Machine Learning Engineer

UrbanLogic; Almada; Presencial; EUR 11 171 - 13 380; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary package

Career growth

Dynamic work environment

Flexible working hours

Training opportunities

Resumo da oferta

UrbanLogic in Almada, Portugal is seeking a Machine Learning Engineer to develop and implement cutting-edge ML algorithms. You will work with data scientists and software engineers to build, test and deploy ML models in production environments.

The ideal candidate has a strong background in mathematics, statistics and computer science, with proficiency in Python or R and experience with ML frameworks like TensorFlow or PyTorch. Flexible working hours and career growth opportunities are offered.

Qualificações

• Bachelors or Masters degree in Computer Science, Mathematics, Statistics or related field.
• Strong understanding of machine learning concepts like regression, classification, clustering, neural networks.
• Proficiency in Python or R for ML implementation and experimentation.
• Experience with data analysis and manipulation tools such as Pandas or NumPy.
• Familiarity with ML frameworks like TensorFlow or PyTorch.
• Knowledge of database systems: SQL and NoSQL.
• Excellent problem-solving skills and ability to think creatively.
• Strong communication skills and ability to work collaboratively in a team.

Responsabilidades

• Develop and implement machine learning algorithms to solve business problems.
• Collaborate with data scientists to identify relevant data sources and perform data preprocessing.
• Build efficient pipelines for data ingestion, processing and model training.
• Test and validate models to ensure accuracy and reliability.
• Deploy models into production systems.
• Monitor model performance and make necessary improvements.
• Research new techniques and technologies in the field of machine learning.

Conhecimentos

ML concepts

Problem solving

Team collaboration

Python or R

Formação académica

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field

Ferramentas

Python

R

Pandas

NumPy

TensorFlow

PyTorch

SQL

NoSQL

Descrição da oferta de emprego

We are seeking a highly motivated and skilled Machine Learning Engineer to join our team in Almada As a Machine Learning Engineer you will be responsible for developing and implementing cutting-edge machine learning algorithms and techniques to solve complex problems You will work closely with data scientists and software engineers to build test and deploy machine learning models The ideal candidate should have a strong background in mathematics statistics and computer science as well as experience with programming languages such as Python or R This is an exciting opportunity for someone looking to apply their skills in a fast-paced and dynamic environment

Salary $1100 per month Location Almada Portugal

Requirements

• Bachelors or Masters degree in Computer Science Mathematics Statistics or related field
• Strong understanding of machine learning concepts like regression classification clustering neural networks
• Proficiency in programming languages such as Python or R
• Experience with data analysis and manipulation tools such as Pandas or NumPy
• Familiarity with machine learning frameworks like TensorFlow or PyTorch
• Knowledge of database systems SQLNoSQL
• Excellent problem-solving skills and ability to think creatively
• Strong communication skills and ability to work collaboratively in a team

Responsibilities

• Develop and implement machine learning algorithms to solve business problems
• Collaborate with data scientists to identify relevant data sources and perform data preprocessing
• Build efficient pipelines for data ingestion processing and model training
• Test and validate models to ensure accuracy and reliability
• Deploy models into production systems
• Monitor model performance and make necessary improvements
• Research new techniques and technologies in the field of machine learning

Benefits

• Competitive salary package
• Opportunity for career growth
• Dynamic work environment
• Flexible working hours
• Training opportunities