MACHINE LEARNING ENGINEER Job Listing at Dollar General in Goodlettsville, TN (Job ID 2023-288833)

Description

Work Where You Matter: At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive. Company Overview:

Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day.® by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at www.dollargeneral.com/about-us.html.

GENERAL SUMMARY:

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. ML Engineer helps increase the speed of delivery, improve the quality of code, and streamline processes in support of productionalizing models. The ML Engineer is responsible for identifying a production method to establish model code automation to be deployed to production systems and are operational with low latency. He or she is responsible for infrastructure implementation tools such as code and support services in multiple clouds, along with metrics and access to information

DUTIES and RESPONSIBILITIES:

• Developers to assess existing problems and reach process improvement solutions in the ML pipeline
• Identify bottlenecks in the coding development and implementation process including packaging of code to reduce DS engineering time
• Participate in planning delivery time, code quality, and process efficiency improvement in output
• Execute the plan by creating coding standards and automating processes for the organization
• Perform daily tasks such as setting up development and production environments, monitoring reporting metrics and incidents
• Develop and maintain knowledge of platform configuration management and troubleshooting
• Actively involved in deploying application devices in appropriate environments through supported technologies and infrastructure
• Coordinate with Data Scientists, Data Engineers, and technical members of the organization to understand their main challenges in the process of coding and development specific to ML pipelines
• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress 

KNOWLEDGE and SKILLS:

• Excellent coding and scripting skills (Bash, Shell) and experience implementing large-scale cloud architectures using modern cloud-based container platforms (PaaS/SaaS)
• Knowledge in the deployment of ML Pipelines using Azure ML, Data Bricks (MLFlow)
• Test, build, and deploy ML models in Production akin to DEV Ops but specifically
  for ML code through infrastructure including Databricks
• Knowledge of cloud infrastructure (Azure) and management tools for IT components, storage, networking, caching, etc.
• Experience with containerization, Docker, Kubernetes
• Continuous integration experience and related tools such as Jenkins, Hudson, Maven, Ant, Git, Sonar, etc.
• Strong understanding of Agile methodologies
• Experience as an MLOps Engineer or SRE is preferred in an agile cross-functional team
• Strong understanding of Agile methodologies
• Experience as an MLOps Engineer or SRE is preferred in an agile cross-functional team

EXPERIENCE and/or EDUCATION:

• Bachelor's degree in computer science, data science, mathematics, or a related field
• Master's degree in computational linguistics, data analytics, or similar will be advantageous
• At least four years of experience as a machine learning engineer

Dollar General Corporation is an equal opportunity employer.

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