Machine Learning Operations

Company Overview

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Job Summary

The Machine Learning Operations role focuses on optimizing the deployment, monitoring, and maintenance of machine learning models. It ensures that machine learning algorithms perform well and deliver value to the organization. This position is pivotal in bridging the gap between data science and engineering practices.

Responsibilities

• Develop and manage scalable machine learning pipelines for production.
• Implement monitoring and performance tracking systems for machine learning models.
• Collaborate with data scientists to refactor and improve existing machine learning solutions.
• Troubleshoot and optimize model performance in production settings.
• Ensure compliance with best practices in data security and ethical AI.

Qualifications

• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks, such as TensorFlow or PyTorch.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong problem-solving abilities and analytical skills.
• Excellent communication and collaboration skills.

Preferred Skills

• Knowledge of DevOps methods and tools.
• Experience with containerization technologies (Docker, Kubernetes).
• Understanding of version control systems (e.g., Git).
• Familiarity with big data technologies (e.g., Hadoop, Spark).

Experience

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Environment

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Salary

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Growth Opportunities

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Benefits

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