Staff Machine Learning Engineer
Silver Triangle Building, United States
R
USD 153K-225K Senior-level Full Time
Tasks
- Architect LLM-powered solutions
- Build and deploy machine learning models
- Build evaluation frameworks for LLM performance
- Co lead ML roadmap and delivery plans
- Design RAG pipelines
- Design scalable secure AI systems
- Develop multi agent GenAI systems
- Implement parameter efficient fine tuning
- Integrate LLM solutions with enterprise architecture
- Manage full ML lifecycle from requirements to production
- Mentor data professionals
- Monitor and optimize model performance
- Troubleshoot production ML issues
Perks/Benefits
- Casual work environment
- Continuous improvement
- Occasional travel
- Professional development
- Work from home
- Work-life balance
Skills/Tech-stack
Agent systems | Authentication | Bayesian Multi Armed Bandits | Causal Inference | Causal Meta Learner | Compliance | Contextual compression | DVC | Data Security | Databricks MLFlow | Databricks Model Serving | Deep learning | Efficient Fine Tuning | Feature Engineering | Fine Tuning | GRPC | Generative AI | Graph Neural Networks | GraphQL | Hybrid retrieval | Kubeflow | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Machine Learning | Meta Learner | Microservices | Model Quantization | Model Serving | Multi-Agent | Multi-Agent Systems | Multi-Armed Bandits | Neural Networks | PEFT | Parameter efficient fine-tuning | QLoRA | Quantization Aware Fine Tuning | Query Expansion | RAG | Ray | Recommendation Systems | Reinforcement Learning | Reranking | Retrieval-Augmented Generation | Transformers | XGBoost
Education
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