Description

Design, train, and deploy machine learning models into production environments, including deep learning for image, NLP, video, or audio data.

This role is on-site.

Responsibilities

• Train and deploy deep learning models involving image, NLP, video, or audio data.
• Build and maintain retraining capabilities for production models.
• Manage ML DevOps and production environments supporting multiple model instances.
• Implement latest deep neural net research and architectures within ML frameworks.
• Collaborate with team members to integrate models into broader systems.

Required Skills

• 5+ years of industry experience in machine learning.
• Proven track record of deploying deep learning models (image, NLP, video, or audio) into production.
• Deep expertise in Python and its application to machine learning frameworks.
• Hands-on experience with high-level frameworks such as TensorFlow, Caffe, or Torch.
• Strong understanding of deep neural net theory, research, and implementation.
• Experience with ML DevOps and production environment management.
• Proficiency in Python, Machine Learning, and R.

Preferred Skills

• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science