Remote Senior Machine Learning Engineer

Description:

• Design, build, and deploy machine learning models to 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 statistics, linear algebra, and calculus.
• Collaborate with data engineers and data scientists for seamless integration of machine learning algorithms.
• Stay updated with new developments in machine learning, neural networks, and data science.
• Conduct performance evaluations of algorithms, adjusting parameters for better results.
• Debug, troubleshoot, and refine existing models using linear algebra and vector operations.
• Write efficient code in Python, R, or other languages to implement linear algebra concepts effectively.

Requirements:

• Master’s degree in Computer Science, Mathematics, or a related field.
• Strong foundation in linear algebra with practical experience in machine learning.
• Proficiency in TensorFlow, PyTorch, or Keras machine learning frameworks.
• Experience with algorithms based on matrix decomposition, eigenvalues/eigenvectors, and linear algebraic operations.
• Deep understanding of optimization techniques relying on linear algebra.
• Solid programming skills in Python or similar languages.

Benefits:

• Opportunity to work on developing, deploying, and optimizing machine learning models for large-scale applications.
• Chance to collaborate with data engineers and data scientists for seamless integration of algorithms.
• Stay updated with the latest developments in machine learning, neural networks, and data science.
• Contribute to solving complex computational challenges using advanced linear algebra techniques.
• Competitive salary and benefits package for the right candidate.