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
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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