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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 like 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 part-time and remote, offering flexibility in working hours.
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, offering location independence.
Great opportunity for personal and professional growth.
Joining a high-level and fast-paced team, working on exciting businesses and projects.