Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Cloud Computing Monitoring of Systems Python (Programming Language) Machine Learning Tensorflow Google Cloud Feature Engineering Pytorch Information Technology Machine Learning Operations

Requirements

• Bachelor’s degree in Computer Science, IT, Engineering, or related field with 10+ years of experience in AI/ML engineering.
• Strong experience in building, developing, and deploying AI/ML models in production environments.
• Hands-on expertise in Python and PyTorch or similar Python ML frameworks.
• Strong experience with ML pipeline engineering, including model training, deployment, and lifecycle management.
• Hands-on experience with feature engineering and preparing data/features for ML models.
• Experience with model monitoring, performance tracking, and maintaining production ML models.
• Familiarity with Google Cloud Platform (Google Cloud Platform) and cloud-based ML environments.
• Strong understanding of end-to-end ML model development and deployment.
• Ability to work collaboratively with data science, engineering, and delivery teams in a 100% onsite Austin, TX environment.

Apply for this position

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Apply on www.dice.com

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