Job
Description
Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support Evaluate and improve the performance of LLMs in real-world scenarios NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization Work with large datasets to train and validate NLP models Collaborate with cross-functional teams to identify and address language-based challenges Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality Stay updated on the latest advancements in automatic speech recognition (ASR) Performance Optimization: Enhance AI model efficiency for scalability and real-time processing Address biases, improve accuracy, and ensure robustness in all models Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies Experiment with emerging techniques and integrate them into company solutions Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems Collaborate with product managers, software engineers, and other stakeholders Requirements Qualifications: Minimum 8+ years of experience required Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks) Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face) Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously Show more Show less
