- 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 to 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.