AI Model Optimizer

hace 6 días


Buenos Aires, Buenos Aires C.F., Argentina Diffco US, Inc. A tiempo completo
About the Role:
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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