Generative AI Engineer

Analytica is seeking a Generative AI Engineer to support implementing generative AI and LLM models into enterprise software applications for federal client engagements in the DC Metro area. The role will apply software engineering, fine-tuning generative AI, statistical programming, modeling, NLP, and data mining to build applications addressing public sector problems.
Our company has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. 
Responsibilities include:

• Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization. 
• Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques).  
• Modeling - Candidates will have practiced skills and experience selecting modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.  
• Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results.  
• Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges. 

• Master's degree or PhD is highly preferred in Statistics, Mathematics, Computer Science, or similar. 
• 5-10 years of relevant professional experience is a similar role is required.
• High degree of experience utilizing Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling.
• Experience in software engineering integrating APIs and micro-services working in a cloud environment and hands on experience with AWS is required. 
• Some competency with computer vision is required.
• Experience with multi-modal GenAI/LLMs and prompt engineering techniques using leading models such as Claude, Llama, etc.
• At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP is preferred.
• Experience with open source NLP packages such as Gensim, SpaCy, or NLTK. 
• Familiarity with Databricks is required.
• Experience leveraging transformer architecture to develop NLP models and experience with BERT, GPT-J, RoBERTa, T5 or other transformers. 
• Experience presenting findings to executive leadership or mid-level management. 
• Must be a US citizen. 
• Must be able to obtain and maintain a Public trust security clearance. 

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning  SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.