Machine Learning Engineer
4 months ago
Job Description
:
TITLE: MACHINE LEARNING ENGINEER
The Machine Learning Engineer position participates in the support, maintenance, and monitoring of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams.This position participates in assessment and analysis of large-scale data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation. This position works with teams, or individually, to debug, develop minor enhancements, and complete other tasks related to ML/AI environments.
RESPONSIBILITIES
QUALIFICATIONS
Primary:
Demonstrated proficiency in Python, SQL, and cloud platforms such as GCP, AWS, or Azure. Experience in DevOps practices for supporting and maintaining applications and products driven by Machine Learning (ML) and Artificial Intelligence (AI). Expertise in developing and optimizing ML pipelines. Understanding and experience in scaling solutions for ML and AI applications. Demonstrate experience in various ML frameworks such as Python, Scala or Java for debugging and developing minor enhancements to models. Proficiency in deploying and managing models using Kubernetes Experience in supporting products with capabilities including Deep Learning, Supervised, and Unsupervised techniques. Familiarity with implementing solutions using Python, Scala, or Java. Ability to utilize visualization tools for model monitoring and management in production. Experience in deploying and managing machine learning models using containerization tools such as Kubernetes, Docker, Fargate, etc. Documentation and communication skills for technical and non-technical stakeholders. Strong investigative and troubleshooting skills with regards to ML Pipelines Excellent written and verbal communication skills Bachelor’s degree in Computer Science or related discipline, or the equivalent in education and work experienceSecondary:
Comfortable working with data scientists, data engineers, product owners and architects Background in Agile/Kanban development methodologies. Experience working within Agile Frameworks for ML and AI projects.
Employee Type:
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
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