Description

You will build and maintain large-scale data pipelines and deploy machine learning models in production.

Responsibilities

• Build high-quality, low-latency, and cost-effective data pipelines for internal and external data ingestion.
• Implement processes for data wrangling, assimilation, and standardization in production environments.
• Deploy, fine-tune, and execute machine learning models in production.
• Maintain the integrity and performance of large-scale data systems.

Required Skills

• 5+ years of relevant experience in data engineering or machine learning operations.
• Experience building large-scale data pipelines.
• Proven track record of deploying and fine-tuning machine learning models.
• Strong proficiency in data wrangling and data assimilation techniques.
• Ability to design cost-effective data ingestion strategies.
• Bachelor's degree or equivalent practical experience.

Key Skills

Education

Any Gradute