Senior NLP Engineer (6-11 yrs)

We are seeking an experienced and talented Senior AI NLP Language Model Engineer to join our team. In this role, you will be responsible for developing, training, and deploying state-of-the-art natural language processing (NLP) models and large language models (LLMs) to drive innovation across our product suite. Come and help shape a newly created AI organization to drive the firm in the AI era.

Responsibilities :

- Design, build, and optimize cutting-edge NLP models and LLMs for various applications, including text generation, summarization, translation, question-answering, and more

- Experience with conversational AI and building chatbots

- Contribute to the development of best practices, tools, and frameworks for NLP/LLM model development and deployment

- Conduct research and stay up-to-date with the latest advancements in NLP, deep learning, and language modeling techniques

- Develop and implement efficient training pipelines and model deployment strategies

- Ensure model performance, scalability, and robustness through rigorous testing, evaluation, and optimization

- Mentor and guide junior team members, fostering a culture of continuous learning and knowledge sharing

- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to understand business requirements and translate them into technical solutions

Qualifications :

- Master's or Ph.D. degree in Computer Science, Computational Linguistics, or a related field, with a strong focus on NLP and deep learning

- Extensive experience (7+ years) in developing and deploying NLP models and (2+ years) in LLMs, with a proven track record of delivering high-quality solutions

- Deep understanding of NLP techniques, such as transformer models, attention mechanisms, language modeling, and transfer learning

- Proficiency in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch)

- Experience with distributed training and model optimization techniques

- Strong problem-solving, analytical, and critical thinking skills

- Excellent communication and collaboration abilities

- Passion for staying up-to-date with the latest research and trends in NLP and AI

Preferred Qualifications :

- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)

- Knowledge of model deployment strategies, including model serving, monitoring, and updating

- Familiarity with natural language generation (NLG) techniques and applications

- Experience with open-source NLP libraries and toolkits (e.g., Hugging Face, BERT)