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Lead Machine Learning Engineer - MLOps Engineer
UPS
Any Location, IN
Category
Engineering
Apply for Job
Job Description
Join a Fortune Global 500 organization and become a visionary Lead Machine Learning Engineer at UPS Technology. Lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field
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
Benefits
Paid Time Off
401k Matching
Retirement Plan
Relocation Assistance
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