Description

You will own the engineering side of machine learning, productionizing and maintaining models in collaboration with data science teams.

Responsibilities

• Productionize and maintain existing machine learning models and algorithms.
• Develop integrated software algorithms to structure and leverage data in structured and unstructured environments.
• Translate algorithms and technical specifications into code using current programming languages.
• Implement efficiencies, perform testing, debugging, and complete documentation for installation and maintenance.
• Apply deep learning technologies to enable visualization and response to complex situations.

Required Skills

• 5+ years of directly relevant work experience in an engineering-focused role.
• Strong proficiency in Python.
• Experience with Spark and ML algorithms.
• Practical knowledge of ML Ops.
• Experience with large scale computing frameworks and data analysis systems.
• Ability to implement statistical modeling techniques such as decision trees, logistic regression, and Bayesian analysis.
• Background in software engineering rather than pure data science.

Preferred Skills

• Exposure to GenAI tools and capabilities.

Key Skills

Education

Bachelor's