GEN AI Specialist
Tasks
- Build Retrieval Augmented Generation systems
- Build data preprocessing pipelines
- Deploy machine learning models
- Design and deploy Generative AI solutions
- Develop large language model applications
- Develop predictive machine learning models
- Implement prompt engineering
- Integrate AI models into enterprise applications
- Lower compute costs
- Manage ML pipelines
- Optimize AI frameworks for inference speed
- Optimize inference with inference serving
- Perform feature engineering
- Perform model fine-tuning
- Reduce model latency
- Select train and tune machine learning algorithms
- Train machine learning models
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AWS SageMaker | Azure AI | CUDA | ChromaDB | Clustering | Convolutional Neural Networks | Decision Trees | Deep learning | Ensemble Methods | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Inference Server | JAX | Kubeflow | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Milvus | Neural Networks | NoSQL | Pinecone | Prompt engineering | PyTorch | Python | Recurrent Neural Networks | Regression | Reinforcement Learning | Retrieval-Augmented Generation | SQL | TensorFlow | Transformers | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Vertex AI
Education
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