Prompt Engineer

4 days ago

Hyderabad, India RELIX HR Consulting Pvt Ltd - Recruitment Partner for Excellence Full time

Requirements:

·       University degree in computer science, data science, artificial intelligence, or a related field. Advanced degree is desirable e Master, Ph.D.

·       Hands on experience in Gen AI

·       Proven experience (3+ years) in developing NLP models / Gen AI and systems, with a focus on prompt engineering or conversational AI.

·       Collaboration with data scientists, machine learning engineers, and cross-functional teams will be crucial as you focus on creating high-quality prompts, refining model outputs, and enhancing the overall user experience.

·       As a Prompt Engineer/Generative AI Engineer, your role is to design, develop, refine, and optimize AI-generated text prompts to ensure they are accurate, engaging, and relevant for various applications.

·       It includes natural language processing (NLP) models and prompts that drive the performance and effectiveness of language models and conversational AI systems.

·       Strong programming skills in languages such as Python, with experience in NLP libraries/frameworks  

·       Deep understanding of NLP algorithms, techniques, and architectures, including text classification, sentiment analysis, named entity recognition, language modeling, and dialogue systems.

·       Experience with machine learning frameworks ie TensorFlow, PyTorch and deep learning techniques for NLP.

·       Proficiency in data preprocessing, text normalization, tokenization, and other NLP-specific techniques.

·       Strong analytical and problem-solving skills, with the ability to formulate NLP solutions for complex language understanding and generation tasks.

·       Familiarity with prompt engineering techniques and methodologies, including designing and optimizing prompts to control model behavior and outputs.

·       Experience in training and fine-tuning NLP models using large-scale datasets and relevant evaluation metrics.

·       Knowledge of performance optimization techniques for NLP models, such as model compression, quantization, and inference efficiency.

·       Strong collaboration and communication skills to work effectively in multidisciplinary teams and present findings to stakeholders.

·       Up-to-date knowledge of the latest research papers, advancements, and trends in NLP.

·       Experience with deploying NLP models in production environments and working with software engineering teams.

·       Strong attention to detail, ability to work independently, and meet project deadlines.

·       Publications in reputable NLP conferences or journals are advantageous.

·        Performance Optimization - Optimize NLP models for speed, memory usage, and resource efficiency, enabling real-time or near-real-time responses.

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