UPS · 9 hours ago
Lead Machine Learning Engineer
US - I.S. PARSIPPANY (NJPRS)
Full-time
Hybrid
Senior Level, Lead/Staff
$136K/yr - $221K/yr
5+ years expUPS is a Fortune Global 500 organization that is seeking a Lead Machine Learning Engineer to drive strategic innovation through advanced AI/ML solutions. The role involves leading a team of engineers and data scientists, overseeing the integration of machine learning models, and influencing AI strategy across the organization.
LogisticsMessagingTransportation
Responsibilities
Lead the design, development, and deployment of advanced AI/ML solutions to solve complex business problems and drive strategic innovation across products and services
Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists, guiding best practices in model development, deployment, and lifecycle management
Architect scalable AI systems and oversee the integration of machine learning models into production environments in collaboration with engineering, product, and infrastructure teams
Drive the development of intelligent chatbots, AI agents, and automation solutions that enhance customer engagement and operational efficiency
Establish and enforce robust testing, monitoring, and governance frameworks to ensure models meet standards for accuracy, fairness, transparency, and reliability
Continuously monitor model performance post-deployment and lead iterative improvement efforts using real-world data and user feedback
Serve as a key technical advisor, communicating complex AI concepts and outcomes to both technical and non-technical stakeholders, and influencing AI strategy across the organization
Evaluate emerging AI technologies, tools, and trends, and recommend their adoption to keep the company at the forefront of innovation
Qualification
Required
5+ years of professional experience in software/IT with a focus on artificial intelligence and machine learning, including experience in a technical leadership or mentorship capacity
Deep expertise in Python and ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn
Strong understanding of machine learning methodologies including supervised/unsupervised learning, model evaluation, hyperparameter tuning, and model interpretability
Proven experience leading end-to-end AI solution development from concept through deployment in production environments
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) for model tracking, deployment, and lifecycle management
Proficiency with cloud platforms (GCP, Azure, or AWS), including their AI/ML services and infrastructure
Hands-on experience with API development, containerization, and orchestration using tools such as Flask/FastAPI, Docker, and Kubernetes
Applied knowledge of NLP, computer vision, or deep learning techniques is a strong advantage
Good foundation in mathematics, statistics, and data mining techniques
Demonstrated ability to lead cross-functional initiatives, manage priorities, and communicate effectively with diverse stakeholders
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Master's preferred)
Must be currently located in the same geographic location as the job or willing to relocate yourself - Required
Benefits
Medical/prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Account
Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation
Paid Holidays and Personal time
Paid Sick and Family and Medical Leave time as required by law
Discounted Employee Stock Purchase Program
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
10001+ employees
H1B Sponsorship
UPS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (5)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
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