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Description:
The position is for a Staff Machine Learning Engineer on a 4-month contract basis with the potential to transition into a permanent role.
It is a fully remote position based in the United States, and the candidate must be able to start immediately.
Responsibilities include designing, implementing, and optimizing machine learning models for high-impact projects.
The candidate will collaborate with data scientists, product managers, and software engineers to integrate machine learning models into production environments.
Building and maintaining scalable machine learning pipelines, analyzing large datasets, and staying updated with the latest advancements in machine learning are key aspects of the role.
Requirements:
The candidate should have a minimum of 6+ years of experience in Machine Learning and related fields.
Proven expertise in designing and deploying ML models in production environments is required.
Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks is essential.
Strong understanding of data preprocessing, feature engineering, and model evaluation techniques is necessary.
Experience with large-scale data processing tools like Spark and Hadoop is preferred.
Excellent problem-solving skills and the ability to translate complex business problems into machine learning solutions are crucial.
Strong communication skills to work effectively in a remote, collaborative team environment are required.
The candidate must be able to start immediately and commit to a 4-month contract.
Benefits:
The opportunity to work on exciting projects with a leading client.
Fully remote work offering flexibility and work-life balance.
Potential for a full-time role after the initial 4-month contract.