AI Machine Learning Engineer

April 8

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Reach, Grow, and Engage Global Audiences with Multilingual Content

translation • localization • globalization • technology • machine translation

1001 - 5000

Description

• Design and develop machine learning models and algorithms • Take ownership of key projects from definition to deployment • Evaluate and select appropriate machine-learning techniques and algorithms • Implement and optimize machine learning models using Python, TensorFlow, and other relevant tools • Perform statistical analysis and fine-tuning • Deploy machine learning models using Docker and cloud infrastructure • Document and communicate about ML experimentation, design, and deployment • Define and design solutions to machine learning problems • Keep abreast of developments in the field

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, Data Science or similar discipline (or equivalent experience) • 3+ years experience as a Machine Learning Engineer or similar role • Ability to write robust, production-grade code in Python • Excellent communication and documentation skills • Strong knowledge of machine learning techniques and algorithms • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn • Experience with natural language processing (NLP) techniques and tools • Strong communication and collaboration skills • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members • Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc

Benefits

• Competitive salary • Health and dental insurance • Retirement savings plan • Paid time off • Professional development opportunities