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 automation and self service MLOps tools
- Build machine learning infrastructure and pipelines
- Create ML platform capabilities feature stores and model registries
- Deploy AI ML systems on cloud and hybrid environments
- Deploy and operationalize generative AI solutions
- Design and implement RAG pipelines
- Design secure GenAI APIs and microservices
- Develop CI CD pipelines for ML workloads
- Develop prompt engineering and agent workflows
- Evaluate LLM performance and benchmarking
- Implement AI safety guardrails and responsible AI practices
- Implement LLM orchestration frameworks
- Implement batch and real time inference orchestration
- Integrate enterprise data sources into secure GenAI workflows
- Optimize GenAI cost latency throughput and inference performance
- Set up model monitoring for drift and data quality
- Support AI governance compliance and auditability
Perks/Benefits
- Adoption reimbursement
- Dental insurance
- Emergency backup care
- Fertility reimbursement
- Long-term disability
- Medical insurance
- Paid Parental and Family Caregiver Leave
- Paid sick leave
- Paid time off
- Short-term disability
- Surrogacy reimbursement
- Vision insurance
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud platform | Distributed Systems | Docker | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Kubernetes | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Machine Learning Pipelines | Microservices | Model Governance | Model versioning | Monitoring | Observability | Prompt Chaining | Prompt engineering | PyTorch | Python | RAG | Semantic Kernel | Semantic Search | TensorFlow | Vector Databases | “as-code”
Education
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