Lead AI Engineer
Tasks
- Build and enhance agentic AI systems
- Create preprocessing and postprocessing pipelines for model performance
- Deploy scalable colbertv2 architectures for semantic retrieval and classification
- Design build and optimize retrieval augmented generation pipelines
- Develop AI solutions using fine tuned large language models
- Drive AI ML project delivery using milestones and progress tracking
- Ensure security, privacy, and data governance compliance
- Implement model distillation quantization and optimization
- Provide technical leadership and mentorship
Perks/Benefits
- 401k match
- Bonus
- Childcare benefits
- Dental insurance
- Disability insurance
- Gym access
- Health insurance
- Life insurance
- Retirement plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AWS SageMaker | Azure ML | CI/CD | ColBERT | Docker | Embeddings | Faiss | Google Vertex | Google Vertex AI | Hugging Face | Inference Server | Kubernetes | Langchain | Language Models | Large Language Models | LoRA | Milvus | Model Distillation | Model Monitoring | ONNX | Observability | PEFT | Pinecone | PyTorch | Python | Quantization | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Search | TensorFlow | TensorRT | Transformers | Triton Inference | Triton Inference Server | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
Regions
Countries
States
Cities
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