Washington, D.C.

AI Associate – TAG+ (DC)

The Asia Group, LLC is now accepting applications for an AI Associate to join our Washington, D.C. office. 

The Asia Group is a strategic and business advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets in the Indo-Pacific region. The firm’s clients cover a broad range of industries, including aerospace and defense, automotive, civil aviation, energy, financial services, ICT, pharmaceuticals, transportation, entertainment, and hospitality. Our team includes a diverse mix of partners, principals, senior advisors and staff possessing decades of government and private sector experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast-paced and demanding yet strives to be flexible and fun. Through our foundation, we give back to our local community in Washington and in the Indo-Pacific. Beyond the pursuit of professional success, our leadership team actively embraces the challenges and opportunities associated with growing a highly successful firm, including investing time and energy in mentoring and developing staff. 

This is a fast-moving, dynamic role within a start-up environment that offers significant opportunity for growth. We are seeking an innovative and skilled AI Associate to lead the development of a cutting-edge risk scoring and sentiment analysis engine. 

In this role, you will design and refine processes and techniques for leveraging AI to provide insightful, data-driven risk assessments and sentiment analysis. The ideal candidate will be able use their technical expertise to develop AI-led risk scoring methodologies being developed at TAG. 

Responsibilities Include:
  • Develop, design, and help implement AI-driven methodologies for risk scoring and sentiment analysis, ensuring alignment with business objectives. 
  • Drive the continuous improvement of our scoring engine, identifying new AI techniques and technologies to enhance accuracy, scalability, and efficiency. 
  • Conduct research to identify and evaluate AI and machine learning models, including natural language processing (NLP) techniques, to derive insights and actionable outputs from structured and unstructured data. 
  • Collaborate with cross-functional teams, including design, product, and engineering, to integrate risk scoring and sentiment analysis models into various platforms. 
  • Design robust processes to monitor, validate, and maintain model performance. 
  • Provide recommendations for leveraging different AI/ML models, techniques, and approaches to improve predictive capabilities. 
  • Create clear and comprehensive documentation, including model design, scoring methodologies, and process flows. 
  • Stay updated on industry trends, advancements in AI and machine learning, and relevant regulatory guidelines impacting risk scoring and sentiment analysis. 
Required Experience and Qualifications:
  • Candidates must have a degree in Computer Science or Data Analytics.
  • The ideal candidate has demonstrated experience in sentiment analysis and has familiarity with NLP tools as well as strong attention to detail and an ability to thrive in a fast-paced environment.  
  • Bachelor’s degree in Computer Science, Data Science, or related field.  
  • Master’s degree with a focus on AI, Machine Learning, or Natural Language Processing (NLP) is a plus.  
  • 2-5 years’ experience.  
  • Strong foundation in machine learning (ML) techniques, algorithms, and frameworks. 
  • Proven ability to design and implement AI-driven scoring engines or similar systems. 
Desired Focus and Expertise:
  • Expertise in natural language processing (NLP) tools such as NLTK, spaCy, Hugging Face Transformers, or OpenAI APIs.
  • Familiarity with sentiment analysis methodologies and experience building or fine-tuning models for such tasks.
  • Proficiency in Python, R, or similar programming languages commonly used for AI/ML tasks. 
  • Experience with SQL for database queries and managing large datasets. 
  • Familiarity with tools for monitoring and validating model performance over time. 
  • Effective interpersonal and people skills with an ability to work as a team player.
  • Demonstration of keen attention to detail.
  • Ability to work independently as well as with and through others to achieve desired results.
  • Must be able to function effectively in a busy, team-oriented, results-driven environment.
  • Enthusiasm for staying updated on AI trends and integrating new advancements into practical applications.
Submission deadline: rolling basis

Candidates must be eligible to work in the United States. Employees will work in an in-person environment, with remote benefits allowing flexibility on an as-needed basis. TAG provides competitive health benefits and generous paid time off, with regular training opportunities available to its employees. For this role, TAG offers a salary of $68,000-$92,000 with eligibility for a discretionary end of year bonus.

All interested candidates should submit a cover letter, resume, and references via the application portal below. Alternatively, interested candidates may email the required documents as a single PDF titled “AI Associate – TAG+(DC) – [First & Last Name]” to careers@theasiagroup.com and complete the relevant application forms at https://theasiagroup.com/careers/. 

As a participant in E-Verify, we are required to provide the following notices: E-Verify Participation Poster (English & Spanish) and Right to Work Poster (English) | Right to Work Poster (Spanish) 

Due to the volume of applications received, responses from our recruiting team may be delayed. No phone calls, please. 

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The Asia Group is an equal opportunity employer where an applicant’s qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. The Asia Group continually seeks to diversify its staff, particularly to broaden opportunities for individuals from demographic groups that are historically underrepresented in the strategic advisory profession.

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