Machine Learning Engineer (LLM / NLP)

Tiger Analytics is looking for experienced Machine Learning Engineers with LLM / NLP expertise to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

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.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.