AI Engineer

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.

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:

• 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.

Qualification

Bachelor's Degree