Deploy and maintain end-to-end machine learning systems at scale
Contribute to ML system design and architecture of scalable AI/ML systems by working with ML platform engineers
Design and implement robust data pipelines for training models and fine-tuning LLMs
Solve high impact production ML problems and delivering business impact through data and machine learning products
Collaborate with data scientists and machine learning engineers to ensure their models are production-ready and scalable and troubleshoot issues as they arise
Keep up to date with the latest tools in the machine learning and MLOps space and recommend improvements and new solutions to enhance the platform
You Have:
A bachelor’s degree in computer science, Electrical Engineering, or related fields
Proficiency developing production grade software incorporating testing and monitoring experience with Python
Familiarity with common machine learning frameworks, tools, and patterns
Experience with containerization and container orchestration technologies (e.g., Docker, Kubernetes, Airflow) and their application to machine learning workflows
Experience with cloud-based services; AWS preferred (e.g., EKS, Lambda)
Experience with CI/CD tools and deployment practices (e.g., Git, GitHub Actions)
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Experience with MLOps and managing production machine learning lifecycle
Experience with Messaging/Streaming Technologies (e.g., AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (e.g., DynamoDB, EKS, Graph database), and Microservices Architecture
5+ years of industry experience in deploying Machine Learning models to production at scale
Experience with GPU/TPU training and optimizations
Rewards and Benefits:
With benefits starting day one, our programs provide choice and flexibility to meet team members’ individual needs. Check out the highlights below and review all our benefits at GraingerTotalRewards.com.
Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing
Paid time off (PTO) and 6 company holidays per year
6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match required
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and tools
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.
