Senior Software Engineer

Summary

Join Experian's Consumer Services Generative AI team as a Senior Software Engineer and contribute to building game-changing products and services. Reporting to the Head of AI/ML Innovation, you will develop and integrate generative AI models with existing software. You will build scalable machine learning frameworks, pipelines, and tools for production-ready models. Collaboration with data scientists and beta customer piloting are key aspects of the role. Maintaining a culture of streamlined code and CI/CD automation is essential. This role requires 5+ years of experience and strong coding skills in Python, along with familiarity with various AWS services and machine learning libraries.

Requirements

• 5+ years of experience
• Strong coding experience in Python with some familiarity to PySpark and SQL
• Familiarity with popular python libraries such as pandas, numpy, flask, matplotlib
• Familiarity with the AWS platform and services, including CI/CD automation methods
• Familiarity with AWS serverless methodology, particularly Fargate, Lambda, ECR
• Familiarity with CloudFormation, Terraform, or equivalent
• Experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
• Open source Foundation models: llama3, llama2, mistral, falcon, phi
• Orchestration Frameworks: Mlflow, airflow
• Experience or familiarity with Databricks AI services and Mosaic branded services
• Experience with monitoring tools such as Splunk, Datadog, Dynatrace
• Test writing discipline in standard development tools and processes, e.g., gitub, Jira, Slack
• Record of building and maintaining large-scale software systems in production

Responsibilities

• Develop and integrate generative AI solutions with existing software teams building products
• Develop a scalable machine learning framework for data science products
• Develop scalable pipelines, tools, and services for building production-ready machine-learning models
• Work with our data scientists to pilot our products with beta customers
• Maintain our culture of simple, streamlined code and full CI/CD automation
• Develop simple, streamlined, and well-tested ML pipeline components
• Comfortable supporting troubleshooting and assessment of production issues when needed

Preferred Qualifications

Some knowledge of javascript (node.js) as a front end

Benefits

• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays