Machine Learning Engineer
Posted Updated
Description
# 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)
