Senior Software Engineer - ML

Job Description

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 Bachelors 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 companys products and services. To Work with large datasets to analyse, 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 Bachelors degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics. Experience 3-5 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.