Senior MLOps & Generative AI Engineer - Remote
Corp Facilities MPB - 350 Centre Pointe Drive, United States
R
USD 91K-152K Senior-level Full Time
Tasks
- Build GenAI APIs and microservices for high throughput
- Build LLM orchestration frameworks
- Build ML infrastructure pipelines for training and deployment
- Create orchestration for batch and real time inference
- Deploy fine tuning and parameter efficient tuning for domain use cases
- Deploy monitoring for model performance drift and data quality
- Design RAG pipelines using vector search and retrieval optimization
- Develop CI CD pipelines for ML workloads
- Develop automation tools for MLOps self service
- Evaluate and benchmark LLM outputs and hallucination rates
- Implement AI safety guardrails and responsible AI controls
- Implement ML platform capabilities for feature storage and model registry
- Implement prompt engineering and agent workflows
- Implement security observability resiliency and governance for AI ML systems
- Integrate enterprise and healthcare data sources into secure GenAI workflows
- Optimize cost latency throughput and inference performance
Perks/Benefits
- Adoption reimbursement
- Emergency backup care
- Family caregiver leave
- Fertility reimbursement
- Medical, dental, vision plans
- Paid parental leave
- Paid time off
- Remote work
- Sick leave
- Surrogacy reimbursement
Skills/Tech-stack
AI Evaluation | APIs | AWS | Alerting | Azure | Benchmarking | CI/CD | Cloud infrastructure | Cloud platform | Distributed Systems | Docker | Efficient Fine Tuning | Embeddings | Experimentation Frameworks | Feature Stores | Fine Tuning | Google Cloud | Google Cloud Platform | Governance | HIPAA | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Kubernetes | LLM orchestration | Langchain | Latency optimization | Llamaindex | LoRA | MLOps | Microservices | Model Registry | Model Risk Management | Model risk | Monitoring | Observability | PEFT | PHI handling | Parameter efficient fine-tuning | Prompt Chaining | Prompt engineering | PyTorch | Python | RAG | RLHF | Reranking | Retrieval-Augmented Generation | Risk Management | Security | Semantic Kernel | Semantic Search | TensorFlow | Throughput Optimization | Vector Databases | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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