Sr. Machine Learning Engineer - DSML CoE

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Job Description:

SENIOR MACHINE LEARNING ENGINEER - DSML - CoEGRADE 20I

JOB SUMMARY
As a Sr. Machine Learning Engineer in the DSML CoE, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.

RESPONSIBILITIES

• Transforms and develops data science prototypes into ML systems using appropriate datasets and data representation models with moderate complexity.
• Researches and implements appropriate ML algorithms and tools that create new systems and processes powered with ML and AI tools and techniques according to business requirements
• Designs and implements workflows and analysis tools to streamline the development of new ML models at scale both in batch and streaming mode.
• Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modeling lifecycles.
• Extends existing ML libraries and frameworks with the developments in the Data Science and ML field for enterprise use.
• Establishes, configures, and supports scalable cloud components that serve prediction model transactions
• Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes that is necessary for ML systems.
• Collaborates with skilled Designers, Architects, Software Engineers, Data Scientists and Data Engineers to deliver ML products and systems for the organization.

QUALIFICATIONS

• Experience in machine learning engineering or related roles, with a track record of developing and deploying models in production environments.
• Proficiency in Python for development and debugging, familiarity with PyTorch, Perl, and TensorFlow.
• Experience with model deployment tools like Airflow, Databricks, AWS, Docker.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud computing platforms (AWS, Azure, GCP - Preferred) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills with attention to detail, effective communication, and collaboration skills across technical and non-technical teams.
• Excellent written and verbal communication skills
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s or Ph.D. preferred.
• Experience in Agile/Scrum methodologies and interdisciplinary team environments is a plus.

Last Day Posted Internally - 1/22/2025

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.