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Machine Learning Engineer
2 months ago
Responsive is looking for an ML Engineer with a strong background in Python, NLP, structured and unstructured data, and basic understanding of ML and DL algorithms/frameworks. The ideal candidate will have a Bachelor's degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics. The ML Engineer should be familiar with Linux and Git and have strong problem-solving and analytical skills. Additionally, the candidate should have a good understanding of mathematics.
Essential Responsibilities
- To develop and implement ML models and algorithms that improve the company's products and services.
- To Work with large datasets to analyze, model, and interpret data.
- To create and optimize NLP models to extract meaningful insights from unstructured text data.
- To collaborate with cross-functional teams to identify and solve complex business problems.
- To continuously monitor and improve the performance of ML models.
- To develop and maintain ML codebase, including version control using Git.
Education
Bachelor's degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics.
Experience
- 4-6 years of experience in Machine Learning
- Proficiency in Python is a must
Knowledge, Ability & Skills
- Comfortable with NLP techniques.
- Basic understanding of ML and DL algorithms/frameworks.
- Familiarity with Linux and Git.
- Good problem-solving and analytical skills.
- Good understanding of mathematics.
