Senior ML & AI Technical Solutions Engineer
Tasks
- Collaborate on product roadmap and support improvements
- Contribute to technical documentation and training materials
- Design context orchestration and prompt engineering
- Develop and maintain ML pipelines
- Guide model registry experiment tracking versioning and evaluation
- Implement autoscaling monitoring logging and alerting
- Optimize performance reliability latency and cost
- Provide RAG and agentic RAG solutions
- Support LLM deployments for real time and batch inference
- Troubleshoot production ML workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Alerting | Apache Spark | Autoscaling | Context orchestration | Databricks | Distributed Systems | Drift Detection | Experiment tracking | Feature Engineering | Generative AI | Java | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Logging | MLOps | Machine Learning | Memory Management | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Model Registry | Model Training | Model scoring | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Python | Ranking Optimization | Retrieval-Augmented Generation | Scala | Semantic Search | Vector Search | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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