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DeltaX.com

Machine Learning Engineer

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# Machine Learning Engineer ## Company Overview (Not specified) ## Job Summary The Machine Learning Engineer will be responsible for building and deploying sophisticated machine learning models that drive product development. This role emphasizes innovative problem-solving and scalable systems and works to integrate machine learning solutions efficiently into backend systems. ## Responsibilities - Develop and deploy machine learning models to support product functionality. - Troubleshoot and optimize scalable machine learning systems in cloud environments. - Collaborate with cross-functional teams to integrate machine learning capabilities into backend systems and APIs. - Design innovative solutions utilizing advanced machine learning techniques. - Ensure the security and management of data while adhering to best practices. ## Qualifications - **Education**: Degree in Computer Science, Data Science, Machine Learning, or a related field. - **Experience**: 4-7 years of experience building and deploying machine learning models. - **Programming**: Proficient in Python; familiarity with TensorFlow, PyTorch, scikit-learn, and Pandas; knowledge of Golang is a plus. - **Software Engineering**: Strong understanding of data structures, algorithms, and system design principles. - **Machine Learning Expertise**: Extensive experience in machine learning, including large language models and reinforcement learning. - **Integration & Cloud Services**: Experience with Docker, Kubernetes, CI/CD tools, and Cloud Services (AWS/Azure/GCP). ## Preferred Skills - Familiarity with NoSQL databases. - Knowledge of application security and data protection principles. - Experience with Agile/Scrum methodologies and project management tools like Jira, Notion, or similar. ## Experience 4-7 years in developing and deploying machine learning systems, with a strong emphasis on product development and troubleshooting. ## Environment (Not specified) ## Salary (Not specified) ## Growth Opportunities (Not specified) ## Benefits (Not specified)

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