AI Model Optimizer
hace 6 días
We are seeking a highly skilled Generative AI Engineer to join our team at Diffco US, Inc. This is an exceptional opportunity to work on cutting-edge projects in Silicon Valley for both US and European clients utilizing the latest technologies, methodologies, frameworks, and approaches.
Key Responsibilities:
- Fine-tune open-source LLMs (Mistral, Zephyr, Llama) for insurance-specific applications.
- Optimize AI models to reduce hallucinations and increase domain-specific accuracy.
- Implement dynamic prompt engineering to control model responses and improve reliability.
- Integrate LLMs into a structured AI pipeline (RAG, knowledge retrieval, vector databases).
- Research, evaluate, and deploy NLP-based solutions for text classification, entity recognition, and semantic search.
- Ensure models adhere to enterprise standards of accuracy, compliance, and security (GDPR, CCPA, PII handling).
- Work with large datasets to train models efficiently and integrate them into real-world applications.
- Optimize model inference efficiency for deployment in cloud-based and on-prem environments.
Must-Have Skills & Experience:
- Strong experience with LLMs, NLP, and transformer-based architectures.
- Hands-on experience in fine-tuning and optimizing models (Hugging Face, PyTorch, TensorFlow, LangChain, etc.).
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Familiarity with vector databases (Weaviate, Pinecone, FAISS) and retrieval-augmented generation (RAG).
- Understanding of prompt engineering strategies to minimize hallucinations.
- Strong background in statistical modeling and machine learning algorithms.
- Knowledge of MLOps tools for deployment and monitoring (MLflow, Kubeflow, Ray).
About Our Offer:
- A dynamic and creative work environment with a team of passionate professionals.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
- Flexible working hours and the possibility for remote work.
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