
AI Model Specialist
2 days ago
As a Generative AI Engineer, you will be part of an innovative team developing cutting-edge AI projects.
Responsibilities include:
- Develop and fine-tune large language models (LLMs) and generative AI models for natural language processing (NLP), image, or multimodal tasks.
- Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
- Integrate generative AI capabilities into products, services, and enterprise applications.
- Collaborate with cross-functional teams to deliver end-to-end AI features.
Requirements include:
- 2–4 years of experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
- Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
- Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
- Familiarity with prompt engineering, vector databases, and RAG techniques.
- Good understanding of model fine-tuning, transfer learning, and model evaluation.
- Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
- Excellent communication and collaboration abilities.
Preferred qualifications include:
- Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
- Exposure to cloud platforms and MLOps tools.
- Knowledge of multimodal AI.
- Contributions to open-source AI projects or research publications.
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