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. Dollar General operates more than 18,000 stores in 47 states, and we’re still growing. Learn more about Dollar General at www.dollargeneral.com.

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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MACHINE LEARNING ENGINEER