Artificial Intelligence/Machine Learning Engineer - NLP/Python

Role Overview: As an AI/ML Engineer, your responsibility will involve developing, deploying, and optimizing advanced AI models using cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain. Your expertise in Large Language Models (LLMs) and experience with various NLP frameworks will play a vital role in building scalable AI solutions. Key Responsibilities: - Expertise in Large Language Models (LLMs) and proficient in fine-tuning and deploying pre-trained models for various NLP tasks. - Strong knowledge of LangChain for building and managing LLM pipelines. - Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. - Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. - Solid understanding of Prompt Engineering to optimize model performance. - Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). - Experience deploying ML models using ONNX for scalable and efficient inference. - Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. - Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Qualifications Required: - Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. - Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). - Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. - Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions.,