Staff AI/ML Engineering Manager
Tasks
- Apply large language model techniques with RAG fine tuning and prompt engineering
- Apply unsupervised and supervised machine learning
- Conduct code reviews for ML projects
- Design machine learning system architectures
- Ensure MLOps best practices
- Lead end to end machine learning lifecycle development
- Manage and mentor AI/ML engineers
- Manage project priorities timelines and deliverables
- Participate in hiring interviewing onboarding and retention
- Remove technical roadblocks for team
- Train and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial Networks | Agile | Convolutional Neural Networks | Docker | EC2 | Fine Tuning | Generative Adversarial Networks | Git | Kanban | Keras | Kubernetes | Lambda | Language Processing | Linux | MLOps | Natural Language | Natural Language Processing | Neural Networks | NumPy | OpenCV | Pandas | Polars | Prompt engineering | PyTorch | Python | Recurrent Neural Networks | Retrieval-Augmented Generation | S3 | Scikit-learn | Scrum | TensorFlow | Transformers | Variational Autoencoders
Education
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