AI Engineer - (B5)
Tasks
- Architect manufacturing data ecosystems
- Build intelligent automation pipelines
- Communicate insights to executive stakeholders
- Create visualizations and narratives
- Design data architecture semantic layers scalable data models
- Design experiments and validate hypotheses
- Develop SQL Python analytics pipelines
- Develop predictive maintenance models
- Implement real time analytics for digital twins
- Ingest consolidate analyze structured and unstructured data
- Lead and mentor multidisciplinary teams
- Optimize manufacturing yield
- Orchestrate data ingestion feature engineering model execution decision making
- Process cleanse integrate large scale industrial datasets
- Translate analytics into business KPIs and recommendations
Perks/Benefits
- Career development support
- Health and wellbeing programs
- Relocation eligible
- Supportive work culture
Skills/Tech-stack
Agent-based | Agent-based systems | Automation | Data Architecture | Data Engineering | Data Mining | Data orchestration | Digital Twins | Feature Engineering | Graph reasoning | Machine Learning | Optimization | Predictive Maintenance | Python | R | SQL | Semantic layer | Statistical modeling | Time Series | Yield Optimization
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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