AI/ML Software Development Engineer

at  Macro Solutions

Working at Macro Solutions, a leading provider of IT and management consulting services, is an opportunity to collaborate with great people who have a passion for the services they provide to our clients. We are currently seeking an AI/ML Software Development Engineer for a Remote position on our Federal program in Washington, DC. Federal Client requires US Citizenship.

Education and Requirements

• Federal Client requires US Citizenship.
• Bachelor’s degree – Master’s degree preferred.
• 10+ years of experience delivering production ready , industrial strength code, and implementing CI/CD pipelines - Not looking for someone that only has theoretical or white/board design experience.
• Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch.
• Extensive experience with neural network architectures, particularly transformers, and NLP techniques.
• RAG and Data Engineering - Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions.
• Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models.
• Strong software engineering fundamentals, including version control, testing, and CI/CD.
• Ability to design efficient algorithms for data retrieval and model training, optimizing models through Hands-on experience with the following - Python, PyTorch, TensorFlow, pandas, Scikit-learn, teras and other AI/Ml libraries - JavaScript - Other object-oriented programming languages - React.js - Cloud Architecture Frameworks such as AWS.
• Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture.
• Hands-on senior software developer with real-life experience designing, developing, and deploying large language models (LLMs) and Retrieval-Augmented Generation (RAG) solutions to production environments

• Stay up to date on the most current developments in the generative AI space.
• Deploy machine learning models and services on cloud platforms including AWS, Google, or Azure.
• Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects.
• Manage large datasets, including data cleaning, preprocessing, and transformation.
• Develop and maintain data pipelines to ensure seamless data flow for model training and evaluation.
• Communicate technical concepts and project progress to non-technical stakeholders and team.
• Conduct experiments to fine-tune parameters and optimize model performance.
• Implement techniques to improve the efficiency and scalability of LLM and RAG systems.
• Stay up to date with the latest advancements in NLP, machine learning, and deep learning fields to inform project strategies.
• Monitor and maintain deployed models, ensuring reliability and performance benchmarks.
• Ensure code quality by following best practices in software development, including version control, testing, and continuous integration/continuous deployment (CI/CD).
• Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers.

Education and Requirements

• Federal Client requires US Citizenship.
• Bachelor’s degree – Master’s degree preferred.
• 10+ years of experience delivering production ready , industrial strength code, and implementing CI/CD pipelines - Not looking for someone that only has theoretical or white/board design experience.
• Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch.
• Extensive experience with neural network architectures, particularly transformers, and NLP techniques.
• RAG and Data Engineering - Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions.
• Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models.
• Strong software engineering fundamentals, including version control, testing, and CI/CD.
• Ability to design efficient algorithms for data retrieval and model training, optimizing models through Hands-on experience with the following - Python, PyTorch, TensorFlow, pandas, Scikit-learn, teras and other AI/Ml libraries - JavaScript - Other object-oriented programming languages - React.js - Cloud Architecture Frameworks such as AWS.
• Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture.
• Hands-on senior software developer with real-life experience designing, developing, and deploying large language models (LLMs) and Retrieval-Augmented Generation (RAG) solutions to production environments.

Macro Solutions is a woman-owned IT and management consulting firm that helps government organizations select, implement, integrate and maintain critical business solutions. A relationship company at our core, we pride ourselves on building high-touch, high-trust environments for our clients and partners, at every level of our business. Assessed at CMMI Maturity Level 3 for both Development and Services and ISO 9001:2015 certification, Macro delivers honest, powerful results from the inside, outward.
Deeply invested in advancing long lasting employee relationships, our distinctive Consultant Care program ensures that our employees are always a priority at every level of the organization and has been integral to our 94% employee retention rate.
Along with a supportive environment and culture that thrives on dreaming big, getting things done and having fun together, Macro Solutions offers employees a full suite of competitive benefits, including health, dental, 401(k), and paid time off.
If you would like to learn more about Macro, are interested in joining our team, or would like to learn more about our Consultant Care program visit our website.
Macro Solutions is an Equal Opportunity Employer