AI/ML Engineer Associate

Company Overview

At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don’t just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age.

Position Overview

We are seeking an Associate AI/ML Engineer to support the development, experimentation, and deployment of machine learning and NLP-based solutions for product-driven use cases. This role is ideal for junior engineers who are passionate about AI/ML, eager to learn, and excited to work with modern technologies such as NLP and Large Language Models under the guidance of senior team members.

Key Responsibilities

• Assist in researching and implementing machine learning and NLP techniques including text classification, summarization, sentiment analysis, and named entity recognition
• Support experimentation with Large Language Models such as GPT, BERT, and LLaMA for business and product use cases
• Apply prompt engineering techniques to improve LLM outputs for various applications
• Help fine-tune, evaluate, and optimize open-source or proprietary models for specific applications
• Participate in data collection, cleaning, preprocessing, and annotation to improve model accuracy
• Assist in building and maintaining machine learning and NLP pipelines, APIs, and integrations
• Conduct model testing, performance evaluation, and error analysis and suggest improvements
• Collaborate with product managers, engineers, and data teams to deliver AI-powered features
• Document experiments, models, and technical workflows
• Stay updated with advancements in AI, machine learning, NLP, and LLM technologies

Required Qualifications

• Bachelor’s degree (ongoing or completed) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
• Strong fundamentals in Python programming
• Basic understanding of machine learning concepts and model evaluation
• Hands-on exposure to deep learning frameworks such as TensorFlow or PyTorch
• Prompt engineering experience for Large Language Models
• Familiarity with NLP libraries and tools such as spaCy, NLTK, Hugging Face Transformers, OpenAI APIs, or LangChain
• Understanding of data preprocessing, feature engineering, and basic statistics
• Experience using Git or other version control systems
• Strong problem-solving skills and eagerness to learn

Preferred Qualifications

• Knowledge of vector embeddings, semantic search, or retrieval-augmented generation concepts
• Experience building or consuming REST APIs
• Exposure to Docker, Kubernetes, or MLOps concepts
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Internship, academic projects, or Kaggle competition experience

Why Join 4A

• Be part of a mission-driven, women-owned consulting firm with a reputation for excellence.
• Work on high-impact projects across federal and commercial clients.
• Collaborate in an inclusive, growth-oriented culture where innovation is valued.
• Access career development programs, mentorship, and learning opportunities.
• Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance.

Equal Opportunity Statement

4A Consulting is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.