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.

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Machine Learning Engineer