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Description:
The Machine Learning Engineer will design, implement, and deploy advanced machine learning models and algorithms to address complex business challenges, particularly in optimizing processes within Supply Chain.
Responsibilities include developing and training machine learning models, optimizing algorithms for performance and scalability, collaborating with data scientists and engineers, monitoring model performance, and staying updated on the latest advancements in machine learning and artificial intelligence.
The role is a part-time hourly remote position.
Requirements:
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Master’s degree or PhD in Machine Learning, Artificial Intelligence, or a related field is preferred.
3-5 years of experience in machine learning or a related role.
Strong programming skills in Python, Java, or C++.
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
Knowledge of algorithm design and implementation.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Benefits:
Working completely remote.
Location independence.
Great opportunity for personal and professional growth.
Joining a high-level and fast-paced team, working on exciting businesses and projects.