Senior ML & AI Technical Solutions Engineer
Tasks
- Collaborate with internal teams on roadmap and product improvements
- Contribute to technical documentation and training
- Develop and support RAG agentic RAG and semantic search
- Diagnose and support machine learning deployment
- Guide experiment tracking model registry versioning evaluation and labeling
- Implement autoscaling monitoring logging and alerting
- Manage real time and batch inference
- Optimize performance reliability latency and cost
- Provide guidance on generative AI applications
- Support data pipelines and ML pipelines
- Troubleshoot production ML workloads
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Alerting | Apache Spark | Autoscaling | Azure | Cloud platform | Context orchestration | Databricks | Drift Detection | Experiment tracking | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM Inference | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Memory Management | Model Evaluation | Model Monitoring | Model Registry | Model Training | Monitoring | NLP | Prompt engineering | Python | RAG | Retraining | Retrieval systems | Scala | Semantic Search | Vector Databases | Vector embeddings
Education
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