Lead AI Engineer
Tasks
- Build agentic AI systems
- Create pre processing and post processing pipelines
- Deploy scalable ColBERTv2 architectures
- Design build optimize RAG pipelines
- Develop production AI ML solutions
- Ensure security, privacy, and data governance compliance
- Implement LLM fine tuning pipelines
- Manage AI ML project milestones and blockers
- Optimize model distillation quantization and optimization
- Provide technical leadership and mentorship
Perks/Benefits
- 401K retirement with match
- Bonus eligibility
- Childcare benefits
- Gym access
- Health Dental Vision Life Disability Coverage
- Tuition assistance
Skills/Tech-stack
AWS SageMaker | Azure ML | CI/CD | Cloud Computing | ColBERT | Docker | Document Retrieval | Embedding Models | Faiss | Google Vertex | Google Vertex AI | Hugging Face | Inference Server | Kubernetes | Langchain | Learning models | LoRA | Milvus | Model Distillation | ONNX | PEFT | Pinecone | PyTorch | Python | Quantization | RAG | Reinforcement Learning | Reinforcement Learning Models | Semantic Search | TensorFlow | TensorRT | Transformer | Triton Inference | Triton Inference Server | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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