Machine Learning Engineer

FlexiRemote Solutions; Almada; Presencial; EUR 13 944 - 16 702; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Flexible working hours

Opportunity for growth

Visa sponsorship for qualified candidates

Resumo da oferta

FlexiRemote Solutions in Almada is seeking a Machine Learning Engineer to develop, implement, and maintain innovative algorithms and models. You will enhance products and services through data-driven insights.

Your responsibilities include designing scalable machine learning models and collaborating with teams to meet business needs. A Bachelor's or Master's degree in a relevant field and proficiency in programming languages like Python are required. The position offers a competitive salary of $1600/month for part-time work and flexible hours.

Qualificações

• Minimum of 2 years experience in machine learning or data science role.
• Strong understanding of statistical methods, algorithms, and data structures.

Responsabilidades

• Design, develop and deploy machine learning models to solve complex problems.
• Collaborate with cross‐functional teams to identify business needs.

Conhecimentos

Machine Learning

Python

Data Mining

Problem-Solving

Formação académica

Bachelors or Masters degree in Computer Science, Mathematics, Statistics

Ferramentas

TensorFlow

Keras

PyTorch

AWS

Azure

Descrição da oferta de emprego

As a Machine Learning Engineer in our dynamic and fast-paced team in Almada you will be responsible for developing, implementing and maintaining innovative machine learning algorithms and models. Your main focus will be on creating solutions that improve our products and services through data-driven insights.

Responsibilities

• Design, develop and deploy machine learning models to solve complex problems
• Collaborate with cross‑functional teams to identify business needs and develop appropriate solutions
• Conduct research and stay up-to-date with the latest developments in machine learning
• Explore new data sources and apply data mining techniques to uncover valuable insights
• Ensure scalability, reliability and efficiency of machine learning systems
• Continuously evaluate the performance of existing models and make necessary improvements
• Communicate findings and results to both technical and non‑technical stakeholders

Qualifications

• Bachelors or Masters degree in Computer Science, Mathematics, Statistics or related field
• Minimum of 2 years experience in machine learning or data science role
• Proficiency in programming languages such as Python, R or Java
• Experience with machine learning libraries such as TensorFlow, Keras or PyTorch
• Strong understanding of statistical methods, algorithms and data structures
• Familiarity with cloud computing platforms (AWS, Azure) is a plus
• Excellent problem‑solving skills and ability to think creatively
• Ability to work independently as well as collaboratively in a team environment

Benefits

• Competitive salary of 1600$ per month for part‑time work
• Flexible working hours
• Opportunity for growth within the company
• Visa sponsorship for qualified candidates