Lead Assistant Manager
Tasks
- Build generative AI applications
- Collaborate with other departments
- Deploy production AI ML solutions
- Design and develop AI/ML solutions
- Develop embedding pipelines
- Develop full-stack AI applications
- Evaluate model performance latency and cost
- Fine tune and optimize machine learning models
- Implement agentic workflows
- Implement retrieval-augmented generation pipelines
- Lead and manage ETL projects
- Mentor junior team members
- Optimize vector search mechanisms
- Oversee ETL standards and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agentic Workflows | Application development | Chunking | Deep learning | ETL | Embeddings | Fine Tuning | LLM Application Development | LLM application | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Neural Networks | Python | RAG | Reasoning chains | Retrieval-Augmented Generation | Tool use | Transformers | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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