Artificial Intelligence Engineer
1 week ago
This role involves the development of cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.
- We are looking for an experienced engineer with a strong background in Generative AI, Large Language Models, and Retrieval-Augmented Generation implementation.
- The ideal candidate will design, develop, and deploy AI applications with a focus on RAG pipelines, fine-tuning, and model deployment.
- The ability to implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks is crucial.
- A deep understanding of ML models, leveraging classical and deep learning techniques, is necessary for success in this role.
- Experience working with vector databases like FAISS, ChromaDB, Pinecone, or Weaviate is highly desirable.
- Optimizing and fine-tuning LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases is a key responsibility.
Key Responsibilities:
- Design and Develop AI Applications: The successful candidate will design, develop, and deploy AI applications with a focus on RAG pipelines, fine-tuning, and model deployment.
- Implement GenAI Solutions: Experience implementing GenAI solutions for text generation, summarization, code generation, and other NLP tasks is essential.
- Develop and Optimize ML Models: A deep understanding of ML models, leveraging classical and deep learning techniques, is necessary for success in this role.
Required Skills & Qualifications:
- 3+ years of experience in AI/ML development.
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Hands-on experience with LLMs, GenAI, and RAG architectures.
- Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
- Knowledge of ML algorithms, deep learning architectures, and NLP techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
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