Senior Data Scientist

October 20

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EXIT83 AI

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Web Development • Business Strategy • Mobile Engineering • Cloud Architecture • Startup Acceleration

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Description

• As a data scientist, you'll be at the heart of problem-solving, developing real-world Machine Learning (ML) solutions within our enterprise products. • Key Responsibilities: • Model Development: Design, build, and implement state-of-the-art machine learning models. • Model Deployment: Collaborate with Machine Learning and Data Engineers to deploy models into production environments. • Algorithm Optimization: Utilize ML/DL/NLP/Computer Vision algorithms to optimize and enhance the performance of our automation platform. • Research and Development: Keep abreast of the latest developments in ML and NLP. Evaluate and integrate new methodologies and technologies that can provide a competitive edge. • Technology Proficiency: Demonstrate in-depth expertise with ML libraries (e.g., pandas, numpy, scikit-learn) and DL frameworks (e.g., TensorFlow, PyTorch, Keras). • Experience with Large Language Models (LLM) is highly valued. • Innovation and Ownership: Display a demonstrated ability to take ownership of projects with limited guidance and push the boundaries of innovation within the team.

Requirements

• MS in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science or other related fields. • 5+ years’ experience in delivering ML solutions to Production environments • Advanced skills in programming languages (particularly Python) for data collection, preprocessing, modeling, and monitoring • Strong expertise in ML/DL/NLP/Computer Vision algorithms, especially in the area of Transformer and with a keen emphasis on NLP techniques • Experience with ML libraries like pandas, numpy, scikit-learn, etc. • In-depth knowledge of DL frameworks such as TensorFlow, PyTorch, Keras • Exposure to Large Language Models (LLM) is a notable advantage • Demonstrated ability to take ownership and work with limited guidance • Demonstrated ability to work in the Agile development process • Ph.D. is a preferred • Experience in Docker and Kubernetes is a plus • Experience in Azure a plus • Experience building an enterprise class business automation solution a plus

Benefits

• 100% Remote from Central and South America • Continuous learning culture. • MS Certifications. • Personalized English classes. • Inclusive and collaborative community for creative growth.