ML Ops Engineer

📋 Description

• Leverage advanced artificial intelligence, physics simulation, and computer graphics to drive cost efficiencies.

• Enhance engineering productivity throughout the design and manufacturing workflows.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related discipline.

• Over 5 years of experience in AI/ML Operations, DevOps, Infrastructure Engineering, or a similar role.

• Proficient in Python and TypeScript programming languages.

• Familiarity with Docker, Kubernetes, Terraform, Google Cloud, and AWS.

• In-depth knowledge of machine learning models, particularly large language models (LLMs).

• Proven experience in designing and managing CI/CD pipelines for tuning or training machine learning models.

• Strong written and verbal communication abilities.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Collaborative and innovative work environment.