AI Engineer

2 weeks ago

Hyderabad, Telangana, India Master-Works Full time
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.

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