We are seeking a highly motivated and experienced Machine Learning Engineer to join our team.
The Machine Learning Engineer will be responsible for designing and implementing machine learning algorithms and models to solve complex business problems.
The ideal candidate should have a solid foundation in mathematics, statistics, and computer science, as well as hands-on experience in machine learning and data analysis.
Collaborate with cross-functional teams, including software engineers, data scientists, and business analysts, to understand business requirements and develop solutions
Contribute to the development of best practices, standards, and guidelines for machine learning development, documentation, and deployment
Evaluate and incorporate feedback from stakeholders to improve the accuracy, reliability, and performance of machine learning models
Qualifications:
Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or a related field
Solid understanding of mathematics, statistics, and computer science fundamentals
Strong programming skills in Python and experience with relevant libraries such as NumPy, Pandas, and Scikit-learn
Familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch
Experience with data preprocessing and feature engineering techniques
Excellent problem-solving, analytical, and communication skills