AI ML Engineering Lead - Vice President - Wholesale Payments Operations
Jersey City, NJ, United States
USD 176K-215K (estimate) Senior-level Full Time
Tasks
- Apply DevOps practices
- Apply responsible AI practices
- Build data pipelines for training and inference
- Conduct code and design reviews
- Define success metrics
- Deliver enterprise AI ML solutions
- Deploy AI ML services on AWS
- Ensure reproducibility
- Establish SDLC standards
- Evaluate model performance in production
- Frame AI ML problems
- Implement CI/CD
- Implement MLOps
- Lead AI ML architecture and design
- Lead execution against roadmaps
- Manage model drift
- Mentor engineers
- Set model governance and monitoring
- Write production-quality code
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS Lambda | Airflow | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SageMaker | Amazon Web Services | CI/CD | Cloud Computing | Continuous integration | Data Mining | Data Pipelines | DevOps | Distributed Systems | Document Understanding | Document processing | Feature Stores | Fine Tuning | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Governance | Model Monitoring | Model Registry | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented design | Optical character recognition | Performance Engineering | Python | Responsible AI | Retrieval-Augmented Generation | Streaming inference | Terraform | Web Services | “as-code”
Education
Regions
Countries
States
Cities
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