Description

You build and maintain data pipelines and ML infrastructure using Snowflake and DBT, collaborating with data scientists to deploy models into production.

This role is on-site.

Responsibilities

• Build and maintain data pipelines and ML infrastructure using Snowflake and DBT.
• Collaborate with data scientists to develop and deploy machine learning models.
• Implement model serving infrastructure using TensorFlow Serving or Hugging Face Transformers.
• Monitor deployed model performance to identify and resolve 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.
• Hands-on experience with Python, Java, and PyTorch.
• Strong knowledge of ML workflows and infrastructure.
• Experience with Git for version control.
• Familiarity with DevOps practices.
• Ability to present technical findings to stakeholders.

Preferred Skills

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

Key Skills

Education

Any Graduate