Description

You will build and maintain data pipelines and ML infrastructure using Snowflake and DBT. You collaborate with data scientists to deploy models into production environments and implement serving infrastructure using TensorFlow Serving or Hugging Face Transformers. You monitor deployed model performance to identify and resolve issues, while developing and maintaining documentation for ML infrastructure and workflows. You work with cross-functional teams including software engineers and DevOps to ensure smooth operations.

Responsibilities

• Build and maintain data pipelines and ML infrastructure.
• Collaborate with data scientists to develop and deploy ML models.
• Implement model serving infrastructure using TensorFlow Serving or Hugging Face Transformers.
• Monitor deployed model performance to resolve potential issues.
• Develop and maintain documentation for ML infrastructure and workflows.

Required Skills

• 5+ years of experience in data or machine learning engineering roles.
• Proficiency with Snowflake and DBT.
• Strong knowledge of ML workflows and infrastructure.
• Hands-on experience with Python, Java, and PyTorch.
• Experience with Git for version control.
• Familiarity with DevOps practices.
• Ability to present technical findings and recommendations to stakeholders.

Preferred Skills

• Certifications in software engineering, ML, or a related field.

Key Skills

Education

Any Graduate