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.