Senior AI Platform Engineer - Remote

Overview

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

In Short

• Design, implement, and maintain cloud-native platform to support AI and data workloads.
• Build and manage scalable data pipelines for ML and analytics.
• Develop infrastructure-as-code using tools like Cloudformation and AWS CDK.
• Collaborate with teams to improve AI model performance and reliability.
• Drive best practices for observability in AI platforms.
• Contribute to the design of the AI platform for new ML frameworks.
• Stay current with new tools and technologies.
• Integrate AI models and LLMs into production systems.

Requirements

• Experience in cloud-native infrastructure and MLOps.
• Proficiency in AWS and data platforms like Databricks.
• Knowledge of infrastructure-as-code tools.
• Strong collaboration skills with engineering teams.
• Ability to drive observability best practices.
• Familiarity with ML frameworks and workflows.
• Experience in integrating AI models into production.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Focus on personal and professional growth.
• Engagement with leading industry partners.