Lead NLP Engineer – Natural Language Processing

Lead NLP Engineer – Natural Language Processing

Requirements

• Highly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Proven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications.
• Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etc.
• Experience with performing data preprocessing, feature engineering, and model training on large datasets.
• Experience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use cases.
• Hands-on experience with LLMs like GPT, Llama, BERT or similar models.
• Experience building & supporting AWS architecture and using AWS services.
• At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.
• Familiarity with Agile Development principles
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
• Experience with software engineering tools, such as Eclipse, Git, and others.
• Able to write clean, maintainable code, and read code created by others.
• Highly collaborative, fast learner, willing to jump in and help wherever needed.
• Enthusiasm for learning and experimenting with new technologies, tools, and processes.

Responsibilities

• Work within a full stack team alongside Business Partners and Product Owner.
• Help in doing POCs to validate patterns proposed by architecture and platform teams.
• Help deploy AWS applications to production.
• Help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks.

Preferred Qualifications

• A passion for mentoring and coaching others is highly desirable.