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Urbanlogic Ltd. in Almada, Portugal, seeks a Machine Learning Engineer to develop and deploy cutting-edge ML models that solve real business challenges.
You will work with data scientists and software engineers, applying math, statistics, and CS fundamentals using Python or R, TensorFlow or PyTorch, and Pandas/NumPy. The role offers a dynamic environment with growth opportunities and flexible hours.
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