AI Engineer (Mid-Level)
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About the Role
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.
Key Skills for This Role
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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 design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.
Llm Development & Integration
- Fine-tune and deploy **Large Language Models** for chatbots, content generation, and virtual assistants.
- Evaluate and optimize model performance in real-world use cases.
- Integrate LLMs into production environments ensuring scalability and reliability.
Nlp System Design
- Design and implement **NLP algorithms** for text classification, sentiment analysis, entity recognition, and summarization.
- Handle large text datasets for model training and validation.
- Collaborate with cross-functional teams to address language-related challenges.
Speech-To-Text Implementation
- Develop and optimize **speech-to-text (ASR)** pipelines for multiple languages and dialects.
- Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.
- Stay updated with advancements in **Automatic Speech Recognition (ASR)** technologies.
Performance Optimization
- Improve AI model efficiency for real-time performance and scalability.
- Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
Research & Innovation
- Stay current with cutting-edge research in **LLMs, NLP, and Speech AI**.
- Experiment with new architectures and techniques to drive innovation.
Documentation & Collaboration
- Maintain detailed documentation of models, datasets, and workflows.
- Collaborate with **product managers, software engineers,** and other stakeholders to deliver production-grade AI solutions.
- **Requirements** **Qualifications**
- **Bachelor’s or Master’s degree** in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Proven experience in **LLM development** (e.g., OpenAI GPT, Claude, or similar frameworks).
- Strong knowledge of **NLP libraries** (e.g., Hugging Face, spaCy, NLTK).
- Hands-on experience with **speech-to-text tools** (e.g., Whisper, Google Speech API, DeepSpeech).
- Proficiency in **Python** and frameworks like **TensorFlow** or **PyTorch**.
- Excellent analytical, problem-solving, and communication skills.
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