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Sr Machine Learning Engineer | Engineer in Engineering Job in Chicago IL | 7263804785

This listing was posted on Tip Top Job.

Sr Machine Learning Engineer

Location:
Chicago, IL
Description:

Work Location Type:Hybrid As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working(R) by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of 16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work:Certified(TM) company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details: In your capacity as a Senior Machine Learning Engineer at Grainger, you will be central to the evolution and expansion of machine learning infrastructures, significantly elevating the customer journey. Your expertise will be critical in the implementation and ongoing refinement of ML Models and Services within the sphere of Product Discovery, which includes leveraging Generative AI, Natural Language Processing, Deep Learning, and Multi:Modal Models for enhanced Search, Recommendations, and Cross:Referencing functionalities. Through close collaboration with Machine Learning Scientists and Platform Engineers, you will pioneer sophisticated ML solutions, enabling seamless discovery of Graingers diverse product offerings across various channels. You Will: :Deploy and maintain end:to:end machine learning systems at scale :Contribute to ML system designand 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 :Solvehigh 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 bachelors 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. :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,
Posted:
May 8 on Tip Top Job
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