Senior ML/AI Engineer
Tasks
- Analyze consumer sentiment
- Architect and improve production graph RAG system
- Build and maintain ML pipelines
- Design RAG systems and LLM integrations
- Design build and deploy ML models for demand forecasting
- Detect anomalies
- Develop and iterate agentic AI architecture
- Engineer features and train models
- Evaluate models and deploy to production
- Implement retraining and ongoing model improvement
- Integrate natural language interfaces
- Monitor model performance
- Optimize models for latency reliability and scale
- Perform time-series prediction
- Support autonomous workflows
Perks/Benefits
Skills/Tech-stack
Agentic AI | Anomaly Detection | Data Preprocessing | Distributed Computing | Feature Engineering | Graph Neural Networks | Knowledge graphs | LLM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Serving | NLP | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Time Series
Education
Regions
Countries
States
Cities
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