Senior MLOps & Generative AI Engineer - Remote
Corp Facilities MPB - 350 Centre Pointe Drive, United States
R
USD 91K-152K Senior-level Full Time
Tasks
- Apply prompt engineering and agent workflows
- Build AI evaluation and benchmarking frameworks
- Build RAG pipelines with vector databases and embeddings
- Build and maintain ML infrastructure and pipelines
- Design and deploy enterprise generative AI solutions
- Design scalable GenAI APIs and microservices
- Develop and optimize CI/CD pipelines for ML workloads
- Develop automation and self service MLOps tools
- Evaluate fine tuning and prompt optimization methods
- Implement AI safety guardrails and responsible AI practices
- Implement LLM orchestration frameworks
- Implement reusable ML platform capabilities
- Implement software engineering best practices for AI ML systems
- Integrate secure enterprise data sources into GenAI workflows
- Monitor model performance detect drift and data quality
- Optimize GenAI cost latency throughput and inference performance
- Orchestrate batch and real time ML inference
- Research and evaluate foundation models and GenAI frameworks
- Support AI governance compliance auditability and model risk management
Perks/Benefits
- Adoption reimbursement
- Emergency backup care
- Fertility and surrogacy reimbursement
- Long-term disability
- Medical/Dental/Vision
- Paid parental leave
- Paid sick leave
- Paid time off
- Short-term disability
Skills/Tech-stack
AWS | Alerting | Azure | CI/CD | Deep learning | Distributed Systems | Docker | Efficient Fine Tuning | Embeddings | Fine Tuning | GCP | GPU Optimization | Generative AI | HIPAA | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Kubernetes | LLM | Langchain | Language Processing | Llamaindex | LoRA | MLOps | Machine Learning | Microservices | Model Governance | Model Monitoring | Model versioning | Monitoring | Natural Language | Natural Language Processing | Observability | PEFT | Parameter efficient fine-tuning | Prompt engineering | Prompt orchestration) | PyTorch | Python | REST APIs | RLHF | Reranking | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | TensorFlow | Vector Databases | “as-code”
Education
N/A
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