UPS · 3 months ago
Lead – Machine Learning Engineer – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx
IN - TDC 1 (IN110)
Full-time
Onsite
Lead/Staff
8+ years expUPS is a Fortune Global 500 organization that focuses on innovative logistics solutions. They are seeking a Lead Machine Learning Engineer to architect and deliver enterprise-grade ML solutions that drive strategic business outcomes and mentor cross-functional teams.
LogisticsMessagingTransportation
Responsibilities
Lead the design, development, and deployment of scalable ML models and pipelines for high-impact business applications
Architect ML systems using Vertex AI Pipelines, Kubeflow, Airflow, and manage infrastructure-as-code with Terraform/Helm
Define and implement strategies for automated retraining, drift detection, and model lifecycle management
Oversee CI/CD workflows for ML, ensuring reliability, reproducibility, and compliance
Establish standards for model monitoring, observability, and alerting across accuracy, latency, and cost
Drive integration of feature stores, vector databases, and knowledge graphs for advanced ML/RAG use cases
Ensure security, compliance, and cost-efficiency across ML pipelines and infrastructure
Champion MLOps best practices and lead initiatives for reproducibility, versioning, lineage tracking, and governance
Mentor and coach senior/junior engineers, fostering a culture of technical excellence and innovation
Stay ahead of emerging ML technologies and evaluate their applicability to UPS’s ecosystem
Collaborate with leadership, product managers, and domain experts to align ML initiatives with strategic goals
Contribute to long-term ML platform architecture and roadmap planning
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred)
8+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems
Proven track record of leading ML projects from conception to production
Deep expertise in Python (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL
Experience architecting ML systems in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)
Strong background in containerization (Docker, Kubernetes), orchestration (Airflow, TFX, Kubeflow), and infra-as-code (Terraform/Helm)
Experience in big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop)
Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX)
Strong understanding of ML algorithms, deep learning architectures, and statistical methods
Demonstrated leadership in mentoring teams and influencing technical direction
Preferred
Experience with real-time inference systems or low-latency streaming platforms
Hands-on with enterprise ML platforms (IBM WatsonX, GCP Vertex AI) and feature stores
Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn)
Expertise in data/model governance, lineage tracking, and compliance frameworks
Contributions to open-source ML/MLOps libraries or active participation in ML communities
Domain experience in logistics, supply chain, or large-scale consumer platforms
Experience presenting technical solutions to executive stakeholders
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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