Sr.Data Scientist
Tasks
- Build KPI dashboards
- Build agentic automation systems
- Define and track operational KPIs
- Deliver AI projects in production
- Deploy and scale AI models
- Design and deploy machine learning models
- Design automation opportunities
- Develop NLP report generation
- Develop SOPs and governance
- Develop predictive maintenance models
- Drive AI operations
- Facilitate cross-functional alignment
- Implement anomaly detection models
- Lead AI team
- Map and analyze business processes
- Perform production model triage
- Review model architectures and governance
- Select batch and real time inference architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Anomaly Detection | Azure | BPMN | Databricks | Deep learning | Edge Computing | IoT Streaming | LLM | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Power BI | Predictive Maintenance | Python | RAG | RPA | Salesforce | ServiceMax | Time Series
Education
N/A
Roles
AI Engineer | Data Scientist | Engineer | Scientist | Senior AI Engineer | Senior Data Scientist
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