TTG-322 - NLP & Machine Learning Engineer - $293,750 Total Compe

TTG Solutions is seeking a skilled NLP and Machine Learning Engineer to join our team. The ideal candidate will have experience in developing NLP applications and utilizing advanced machine learning frameworks to derive insights from complex datasets. The candidate will be responsible for designing and implementing NLP models using Python libraries like Spacy, Gensim, or NLTK. They will create machine learning models for text classification and topic modeling, utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras. The role involves conducting advanced statistical analysis on various datasets and optimizing computational efficiency with GPU acceleration.

Subject Matter Expert Normally requires at least sixteen (16) years of experience specific to the skill or occupation. For specific computer languages, systems or technologies, expertise with the subject matter or technology outweighs the number of years of experience.

Requirements: 16 yrs+

• Proficiency with Python NLP libraries such as Spacy, Gensim, or NLTK
• Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras
• Familiarity with the HuggingFace Transformers library and hub
• Ability to create machine learning models for text classification and topic modeling
• Proficiency in SQL
• Experience leveraging GPUs for accelerated computing
• Strong statistical analysis skills on diverse datasets

This position requires an active TS/SCI clearance with Polygraph. Total compensation is the total combination of salary, benefits, retirement, bonuses, etc… and it is calculated using the following formula

Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone Stipend

Although each company has their own blend of salary and benefits, comparing total compensation is typcially the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.

Total Compensation = $293,750