Associate Machine Learning Engineer (Part-Time)

The Associate Machine Learning Engineer will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems. This role involves research, experimentation, and the creation of proof of concepts that can be transitioned into productized solutions. The engineer will work closely with other team members to advance EAs capabilities in machine learning and artificial intelligence.

Responsibilities:

• Conduct research on state-of-the-art machine learning techniques and algorithms
• Investigate and implement various machine learning algorithms and techniques to develop solutions
• Develop, train, and evaluate machine learning models to solve specific business problems.
• Design and develop proof of concepts for new machine learning solutions.
• Contribute to the development of best practices and standards within the team.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience).
• Proficiency in programming languages such as Python, R, or C#.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, HuggingFace, ONNX).
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.