Data Developer – iMerit Technology

iMerit is a leading AI data solutions company providing high quality data across computer vision, natural language processing and content services that powers machine learning and artificial intelligence applications for large enterprises. iMerit provides end-to-end data labeling services to Fortune 500 companies in a wide array of industries including agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, medical AI and technology. iMerit employs more than 5,500 full-time data annotation experts in Bhutan, Europe, India and the United States. Raising $23.5 million in funding to date, iMerit investors are CDC Group, Khosla Impact, Michael and Susan Dell Foundation and Omidyar Network.

Position overview

We are looking for a data developer that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products.

You should have a strong background in Python and data research, web scrapping and crawling

In addition, a major advantage having an experience in machine learning expert with a deep understanding of both supervised and unsupervised techniques, especially in text analysis and Natural Language Processing (NLP)

Ninja skills in python are also required.

Responsibilities:

• Data research, collection, pipeline, and automation
• Responsible for design and implementation of ML-based features from inspection to production.
• Research new technologies and adapt them for use in the product.
• Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems.
• Write and implement efficient python code.
• 2+ years of hands-on experience in Python – must (sklearn, pandas)
• 2+ years of hands-on experience in research and implementation of Machine Learning based solutions – especially NLP.
• Strong problem solving and critical thinking skills

Advantages:

• BSc in Computer Science, Mathematics, Engineering or a related field (MSc an advantage)
• Knowledge of Machine Learning (both classic ML and DL, supervised and unsupervised) algorithms, best practices, project life-cycle
• Solid knowledge in statistics (Hypothesis tests etc.)
• Willingness to own a project from research to deployment
• Autodidact; Interest in DS concepts
• Experience in NLP – big advantage