AI Engineer (Technical Lead)

You are a talented and motivated AI Engineer specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As a valuable member of our dynamic team, your role involves developing, implementing, and optimizing cutting-edge AI solutions to enhance our products and services. Your primary focus will be on utilizing language models, constructing NLP systems, and integrating speech-to-text technologies to facilitate seamless communication and elevate user experiences. Your responsibilities include: - Fine-tuning and deploying large language models tailored for specific applications like chatbots, content generation, and customer support. - Evaluating and enhancing the performance of LLMs in real-world scenarios. - Designing and implementing NLP algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. - Working with extensive datasets to train and validate NLP models. - Collaborating with cross-functional teams to identify and resolve language-related challenges. - Developing and optimizing speech-to-text pipelines for various languages and dialects. - Integrating speech recognition systems with NLP and LLM solutions to achieve end-to-end functionality. - Staying updated on the latest advancements in automatic speech recognition (ASR). - Enhancing AI model efficiency for scalability and real-time processing. - Addressing biases, enhancing accuracy, and ensuring robustness in all models. - Keeping abreast of the latest research in LLM, NLP, and speech technologies. - Experimenting with emerging techniques and integrating them into company solutions. - Maintaining comprehensive documentation for models, processes, and systems. - Collaborating with product managers, software engineers, and other stakeholders. Requirements: - Minimum 8+ years of relevant experience. - Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. - Proven experience in LLM development using frameworks such as OpenAI, GPT, or similar. - Strong understanding of NLP techniques and libraries like spaCy, NLTK, Hugging Face. - Hands-on experience with speech-to-text systems such as Google Speech API, Whisper, or similar technologies. - Proficiency in programming languages like Python and frameworks like TensorFlow or PyTorch. - Strong problem-solving skills, collaborative mindset, and ability to manage multiple projects concurrently.,