Machine Learning Engineer
Machine Learning Engineer
We are hiring a Machine Learning Engineer to join our dynamic team in Almada. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex data problems. You will work closely with our data scientists and software engineers to analyze large datasets, build predictive models, and deploy them into production. The ideal candidate will have a strong background in computer science, mathematics, and statistics with experience in machine learning frameworks such as TensorFlow or PyTorch. This is a full-time position with competitive salary and benefits package available. Visa sponsorship and accommodation options are available for non-local candidates.
Responsibilities:
- Develop machine learning models to solve complex data problems
- Collaborate with data scientists and software engineers to analyze large datasets
- Implement machine learning algorithms using tools such as TensorFlow or PyTorch
- Test and validate models to ensure accuracy and performance
- Deploy models into production environment
- Stay up-to-date with latest developments in machine learning technologies
- Communicate findings and results to both technical and non-technical stakeholders
Requirements:
- Bachelor's or Master's degree in computer science, mathematics, or related field
- Minimum of 2 years experience in machine learning engineering or related role
- Proficiency in programming languages such as Python, Java, or C++
- Experience working with machine learning frameworks such as TensorFlow or PyTorch
- Strong understanding of statistical analysis techniques and data mining principles
- Familiarity with big data technologies such as Hadoop or Spark is a plus
- Excellent problem-solving skills and ability to think creatively
- Strong communication skills with ability to explain complex concepts to both technical and non-technical audiences
Benefits:
- Competitive salary package
- Visa sponsorship for non-local candidates
- Accommodation options available
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views: 2.6K
valid through: 2025-08-20