Applied AI/ML Lead
Tampa, FL, United States
USD 176K-210K (estimate) Senior-level Full Time
Tasks
- Architect computer vision pipelines
- Build and lead ML engineering team
- Build scalable ML training and inference pipelines
- Deploy real time and batch inference endpoints
- Develop and fine tune document understanding models
- Implement MLOps and annotation workflows
- Integrate OCR and generative AI into document pipeline
- Lead AI/ML solution design and deployment
- Manage labeling strategies and training data
- Monitor model performance and drift
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS EKS | Amazon Bedrock | Amazon SageMaker | B testing | CRNN | Computer Vision | Deskewing | Distributed Training | Docker | Drift Detection | Entity recognition | Groovy | Hugging Face | Hyperparameter Tuning | Image Binarization | Image preprocessing | Java | Kubernetes | Language Processing | MLflow | Model Registry | Named Entity Recognition | Natural Language | Natural Language Processing | Noise removal | OCR | OpenCV | Optical character recognition | Oracle | Pillow | Prompt engineering | PyTorch | Python | Sagemaker Pipelines | TensorFlow | Transformer-based | Transformer-based NLP | Transformers
Education
Roles
AI/ML Lead | Applied AI/ML Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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