Manager, Data Science
Tasks
- Architect design and review ML statistical and GenAI solutions
- Drive adoption of AI ML capabilities
- Ensure model governance compliance and responsible AI
- Lead and manage a team of data scientists
- Lead cloud solution deployment with orchestration and MLOps
- Oversee development validation and deployment of predictive models
- Own end to end delivery of data science and GenAI engagements
- Present results to senior stakeholders
- Translate business problems into analytical frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Deep learning | Embeddings | Fine Tuning | Generative AI | Google Cloud | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow
Education
N/A
Roles
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