Data Science & AI - Manager
Tasks
- Architect AI/ML systems
- Build agentic systems
- Collaborate on data availability
- Define engineering standards
- Deploy machine learning models
- Design evaluation frameworks
- Develop LLM applications
- Ensure security and governance
- Implement RAG systems
- Lead design and code reviews
- Manage model lifecycle
- Mentor AI engineering team
- Monitor AI systems reliability
- Oversee AI ML pipelines
Perks/Benefits
Skills/Tech-stack
Apache Spark | Cloud Computing | Data Ingestion | Data Pipelines | Embeddings | Fine Tuning | Guardrails | Huggingface | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Matplotlib | Model Evaluation | Model Serving | Observability | PyTorch | Python | Retrieval-Augmented Generation | Seaborn | Security | Streamsets | Supervised Learning | TensorFlow | Unsupervised Learning
Education
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