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Description:
The Machine Learning Engineer will be responsible for designing, implementing, and deploying advanced machine learning models and algorithms to address complex business challenges, particularly in optimizing processes within Supply Chain.
The role involves developing and training machine learning models, optimizing algorithms for performance and scalability, collaborating with data scientists and engineers to integrate models into production systems, monitoring and evaluating model performance, and staying updated with the latest advancements in machine learning and artificial intelligence.
This is a part-time remote role with hourly compensation.
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 (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 such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of algorithm design and implementation.
Familiarity with cloud platforms like 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 with exciting businesses and projects.