Machine Learning Engineer
Paradise Fruits | By Jahncke
NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
Machine Learning Engineer
Paradise Fruits | By Jahncke
full-time
Posted on:
Origin: • 🇲🇹 Malta
Visit company websiteJob Level
Junior
Tech Stack
NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- As part of the Data and BI Team and reporting to the Lead Data Scientist, the chosen candidate will be responsible for developing, deploying, and maintaining machine learning solutions that support business objectives. Roles & Responsibilities: Design, train, and deploy machine learning models for predictive analytics and optimization. Perform data exploration, cleaning, and feature engineering to prepare datasets for modeling. Collaborate with data scientists, analysts, and engineers to design end-to-end ML workflows. Conduct statistical analysis, hypothesis testing, and model evaluation to ensure robustness and accuracy. Implement best practices for ML lifecycle management, including monitoring, retraining, and performance optimization. Research and prototype advanced machine learning techniques to improve model effectiveness.
Requirements
- 1 year experience working in a Data Team or Data Analyst Role or ML engineer in a Data Science team
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Solid understanding of statistical modelling, probability, and machine learning algorithms (supervised and unsupervised).
- Proficiency in Python with experience using ML and data libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of SQL and experience working with structured datasets.
- Hands-on experience in building, evaluating, and deploying ML models into production environments.
- Strong problem-solving, analytical, and quantitative skills.
- Effective communication skills and ability to work collaboratively in cross-functional teams.
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