Senior AI Engineer, AI Engineering
Tasks
- Apply statistical modeling and machine learning techniques
- Build scalable RAG and Graph-RAG systems
- Design multimodal AI pipelines
- Develop and productionize transformer-based models
- Engineer agent state and memory management
- Implement LLMOps and MLOps pipelines
- Implement multi-agent intelligence frameworks
- Implement responsible AI practices
- Lead machine learning engineering team
- Orchestrate inference backend services
- Research benchmark and productionize generative AI and agent orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Neptune | Async Processing | Autogen | BERT | Bias detection | CLIP | Clustering | Computer Vision | CrewAI | Databricks | Deep learning | Ensemble Methods | Explainability | Feature Stores | Forecasting | Graph RAG | Hugging Face | LLMOps | LLaVA | Langgraph | Language Processing | MLOps | MLflow | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Neo4j | Prompt engineering | PyTorch | Python | Regression | Responsible AI | Retrieval-Augmented Generation | SQL | T5 | TensorFlow | Transformers | Vector Databases | Whisper
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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