Machine Learning Engineer
2 weeks ago
**Key Responsibilities**:
- Design, implement, and maintain machine learning models and systems to solve complex business problems.
- Collaborate with cross-functional teams to gather requirements and translate them into machine learning solutions.
- Preprocess and analyze large datasets to extract meaningful features and insights for model training.
- Evaluate and improve existing algorithms for accuracy, performance, and scalability.
- Deploy machine learning models in production environments using cloud-based platforms or on-premise solutions.
- Monitor and evaluate model performance, making updates and optimizations as necessary.
- Stay current with advancements in machine learning and AI technologies, adopting best practices and methodologies.
- Document and communicate findings and methodology to stakeholders.
**Requirements**:
- Bachelor's in Computer Science, Software Engineering or a related field is a must.
- 3+ years of experience in machine learning, data analysis, or a similar role.
- Strong understanding of machine learning algorithms, frameworks, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and exploratory data analysis.
- Familiarity with tools and techniques for model deployment and monitoring.
- Proficiency in programming languages such as Python.
- Understanding of cloud computing services and infrastructure (AWS, Azure, or Google Cloud).
- Excellent problem-solving skills and ability to work with large datasets.
- Strong communication skills and ability to work collaboratively in a team environment.
- Experience with version control (e.g., Git) and Agile methodologies is a plus.
**Benefits**
- Health Insurance
- Social Insurance
- Flexible working hours
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