Data Science Engineer (AI/ML)

TL;DR

Data Science Engineer (AI/ML): Building and optimizing machine learning applications for customer churn prediction and renewal likelihood modeling, with an accent on Natural Language Processing (NLP), transformer-based models, and large language models (LLMs) to extract business-relevant signals and develop chatbot applications. Focus on designing and training supervised learning models, validating predictive models, optimizing SQL queries for data engineering, and educating users on machine learning products.

Location: Remote (USA)

Salary: $75,000–$125,000/year

Company

hirify.global is a product company focused on data integration and analytics solutions.

What you will do

• Collaborate with internal stakeholders to define business problems and structure data for machine learning applications.
• Apply a deep understanding of Natural Language Processing (NLP), transformer-based models, and attention mechanisms to extract business-relevant signals.
• Develop chatbot applications using large language models (LLMs) and internal knowledge resources.
• Design, train, and validate supervised learning and predictive models on structured and unstructured data.
• Write and optimize SQL queries and perform complex data engineering tasks to transform large datasets.
• Educate customers and internal teams on machine learning concepts, tools, and best practices.

Requirements

• Bachelor’s degree in computer science, computer engineering, or mathematics.
• Six months of experience as a Data Science Engineer, Research Assistant, Teaching Assistant, or related.
• Experience with machine learning, modeling, and prediction tasks.
• Experience with Natural Language Processing (NLP), including transformer models, attention mechanisms, and large language models (LLMs).
• Proficiency in Python programming and development of end-to-end machine learning workflows.
• Experience with data processing, algorithms, and systems programming.