Machine Learning Engineer for Large Scale Data Extraction

7 days ago


Bengaluru, Karnataka, India myGwork Full time

This is a unique opportunity to join myGwork, an inclusive employer and member of the largest global LGBTQ+ business community, as a Machine Learning Engineer specializing in large scale data extraction.

As a key member of our Selection Monitoring team, you will play a critical role in driving expansion of the Amazon catalog by leveraging machine learning and cluster-computing technologies to process billions of products and algorithmically find new items. Your expertise in designing, developing, and deploying scalable ML models will enable us to intelligently cluster web pages, segment and classify regions, extract relevant information, and structure data available on semi-structured web pages.

We are looking for a highly skilled professional with 3+ years of experience in building machine learning models for business applications, proficient in programming languages such as Java, C++, or Python, and familiar with neural deep learning methods and machine learning frameworks. Experience with modeling tools like R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, and scipy is a plus.

The ideal candidate will have a strong understanding of large-scale distributed systems such as Hadoop and Spark, and be able to work closely with software engineering teams to drive real-time model implementations. A Master's degree in a related field is preferred.

In this role, you will encounter various challenges, including scale, accuracy, speed, and diversity. You will help us build a scalable system that can algorithmically extract information from the worldwide web, intelligently cluster web pages, segment and classify regions, extract relevant information, and structure data available on semi-structured web pages.

We offer a competitive salary range of $140,000 - $200,000 per year, depending on experience, and a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. If you are passionate about using AI, NLP, and advances in LLMs/SLMs to create scalable solutions for business problems, we encourage you to apply.



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