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Description:
SellerPlex, a fast-growing company, is seeking a Machine Learning Engineer to design, implement, and deploy advanced machine learning models and algorithms to address complex business challenges.
The role involves developing and training machine learning models, optimizing algorithms for performance, collaborating with data scientists and engineers, monitoring model performance, and staying updated on the latest advancements in machine learning.
This is a part-time, hourly remote position focusing on optimizing processes in areas like Supply Chain.
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 growth.
Joining a high-level and fast-paced team, working with exciting businesses and projects.