Machine Learning Engineer

Company Overview

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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

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Salary

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Growth Opportunities

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Benefits

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