Senior Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to develop, deploy, and optimize machine learning models for largescale datadriven applications. The ideal candidate will possess deep knowledge of mathematics, especially linear algebra, and have proven experience in applying these principles to solve complex computational challenges.

Responsibilities:

Design, build, and deploy machine learning models that address specific business needs.

Utilize advanced linear algebra techniques to optimize algorithms for model accuracy and efficiency.

Analyze large datasets and implement mathematical models using techniques from statistics, linear algebra, and calculus.

Collaborate with data engineers and data scientists to ensure seamless integration of machine learning algorithms into production systems.

Research and stay up to date with new developments in the fields of machine learning, neural networks, and data science.

Conduct performance evaluations of algorithms and systems, adjusting parameters to enhance results.

Debug, troubleshoot, and refine existing models using knowledge of linear algebra and vector operations.

Write clear and efficient code in Python, R, or other programming languages that effectively implement linear algebra concepts.

Requirements

Master’s degree in Computer Science, Mathematics, or a related field.

Strong foundation in linear algebra, with practical experience applying these principles to machine learning.

Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.

Experience with algorithms that rely on matrix decomposition, eigenvalueseigenvectors, and other linear algebraic operations.

Deep understanding of optimization techniques and their reliance on linear algebra.

Solid programming skills in Python or similar languages