Sr. Engineer Data Science & Agentic AI
Corp-Main - Diamond Bar, CA, United States
USD 111K-159K Senior-level Full Time
Tasks
- Build AI agents and multi-agent workflows
- Create dashboards and decision support reports
- Deploy models and agents with monitoring
- Design machine learning and deep learning models
- Develop predictive maintenance solutions
- Develop prescriptive reliability workflows
- Document architectures evaluations and risks
- Ensure human in the loop oversight
- Establish model governance and responsible AI controls
- Implement AgentOps LLMOps and MLOps practices
- Implement LLM powered RAG applications
- Integrate agentic workflows with CMMS EAM and enterprise systems
- Maintain AI safety privacy and security controls
- Perform data wrangling and analysis
- Research and iterate on new AI approaches
- Share knowledge through training and workshops
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AWS | Agent Orchestration | AgentOps | Autogen | Azure | Azure AI | Azure AI Foundry | Cloud platform | Computer Vision | Data Analysis | Data Engineering | Data Wrangling | Deep learning | Drift Detection | Exploratory Data Analysis | Function Calling | Google Cloud | Google Cloud Platform | Human-in-the-loop | LLM Applications | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Microsoft Semantic Kernel | Model Drift | Model Drift Detection | Model Monitoring | NLP | Natural Language | Natural Language Processing | OpenAI API | Predictive Modeling | Prescriptive Analytics | Prompt engineering | PyTorch | Python | R | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | Semantic Kernel | Telemetry | TensorFlow | The Loop | Tool/function calling | Vector Search | Workflow Orchestration
Education
N/A
Regions
Countries
States
Cities
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