75 applicants

Company

Original Job Post

US Foods · 2 days ago

Sr Machine Learning Engineer

Urbana-Champaign Area

Full-time

Remote

Senior Level

$102K/yr - $136K/yr

3+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

E-CommerceFood and Beverage

Insider Connection @US Foods

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Independently developing and deploying multiple pipelines and infrastructure around ML models / products.

Independently maintaining the production ML models by retraining the models on new data, fixing bugs, and adding new features

Independently troubleshooting machine learning problems by identifying the root cause of problems and developing solutions to fix them

Following best practices in terms of coding and deployment of MLOps pipelines

Independently providing production support to the technical team to manage/troubleshoot the failure of an application

Documenting the production deployment with details regarding ML pipelines and associated technical infrastructure

Proactively contributing to coding review sessions and proactively seeking mastery of coding conventions

Prototyping and creating POCs (proof of concepts) to demonstrate the feasibility of MLOps solutions

Independently supporting scalable ML solutions that efficiently handle increasing data volumes, ensuring that the models remain effective and responsive as the business grows

Independently supporting the integration of machine learning models into processes that require quick and automated responses

Independently using and debugging robust monitoring systems for deployed models, promptly identifying, and addressing issues to ensure continuous reliability and performance including data and model drift

Independently implementing machine learning features/solutions that enhance the overall user experience

Mentoring Associate ML Engineers and ML Engineers in the context of technology, best practices, and domain-specific issues

Other duties as assigned by manager

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine learning algorithmsModel developmentAgile/SCRUMAWSData processingAPI developmentMLOpsCI/CD pipelinesContainer orchestrationMachine-learning frameworksScripting languagesPythonBash scriptingData warehousesData lakesAnalytics servicesSnowflakeDistributed computing conceptsAWS Elastic MapReduceVersion control systemsGitSQLNoSQLOrchestration toolsAirflowDagsterStructured dataUnstructured dataSemi-structured dataServerless technologies

Required

Bachelor’s degree plus 3+ years of relevant software development experience

Effective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members

Advanced-level understanding of salient machine learning algorithms (for example: NLP, recommender systems) and model development lifecycle

2+ years’ experience with Agile/SCRUM methodologies

2+ years’ experience in AWS (or other clouds) relevant to machine learning including data processing & storage, API development, MLOps, CI/CD pipelines, and container orchestration (preferably ECS & EKS)

2+ years’ experience in using popular machine-learning frameworks

3+ years of practical experience (non-academic) in scripting languages (preferably Python and Bash scripting)

3+ years’ experience in data warehouses & data lakes and analytics services, such as Snowflake

3+ years’ experience in distributed computing concepts preferably (for example, AWS Elastic MapReduce) for processing large datasets

3+ years’ experience in version control systems/concepts, such as Git

3+ years’ experience in SQL and NoSQL

3+ years’ experience in orchestration tools like Airflow or Dagster

3+ years’ experience in working with structured, unstructured, and semi-structured data.

3+ years’ experience in serverless technologies

3+ years’ experience in cloud computing, Linux OS, Docker, RDBMS, and NoSQL Databases

Up to 5% travel required, depending on business needs