Overview:
Machine Learning Engineers develop and optimise models that enable systems to learn and improve from data without explicit programming.
Duties & Responsibilities:
- Design and implement machine learning models
- Collaborate with data teams to collect and process data
- Integrate ML models into production environments
- Evaluate and improve model accuracy and performance
- Stay updated on emerging ML technologies and best practices
Skills & Qualifications:
- Experience with machine learning libraries (Scikit-learn, TensorFlow, Keras)
- Strong background in mathematics and statistics
- Proficiency in programming languages (Python, R)
- Knowledge of model deployment and scaling techniques
- Familiarity with cloud ML platforms (AWS SageMaker, Azure ML)
