AI/ML ENGINEER

IQUASAR LLC; Montgomery (AL); Híbrido; USD 110.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

IQUASAR LLC is seeking an AI/ML Engineer to join our Engineering team responsible for cloud-based applications on DoD platform environments. This is a hybrid, full-time role requiring Public Trust/US Citizen status.

You will design, train, test, deploy, and maintain AI/ML models for enterprise-scale and government use, ensure reliability and security, and collaborate with data scientists, software engineers, and domain experts to deliver robust AI solutions including Generative AI and LLMs with

Formación

• Minimum of 5 years of experience in IT security, data science, software engineering, or AI/ML deployment.
• Experience building, training, and deploying ML models in production.
• Experience collaborating with cross-functional teams.

Responsabilidades

• Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications.
• Develop and operationalize production of AI/ML solutions, ensuring models and supporting systems are reliable, scalable, maintainable, and appropriate for VA mission requirements.
• Collect, clean, transform, analyze, and prepare structured and unstructured data for AI modeling.
• Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend solutions appropriate for complex Federal Government and cybersecurity use cases.
• Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering, analytics, and operational problems across a large enterprise environment.
• Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers, fine-tuning, content moderation, safety filters, and other model controls.
• Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and overall model performance before outputs are incorporated.
• Design and execute AI/ML model evaluation and validation methodologies, including benchmark testing and comparative evaluation of model outputs.

Conocimientos

AI/ML engineering

Data science

Software engineering

IT security

Cross-functional collaboration

Educación

Master’s or PhD in AI/CS or related field

Descripción del empleo

Job Description

One of our clients is seeking an AI/ML Engineer to join their Engineering team responsible for the development, maintenance, and reliability of cloud-based applications on DoD platform environments. Position: AI/ML EngineerLocation: HybridPosition Type: Full TimeClearance: Public Trust/US Citizen

Job responsibilities

• Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications.
• Develop and operationalize production of AI/ML solutions, ensuring models and supporting systems are reliable, scalable, maintainable, and appropriate for VA mission requirements.
• Collect, clean, transform, analyze, and prepare structured and unstructured data for AI/ML model development, training, testing, and evaluation.
• Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend solutions appropriate for complex Federal Government and cybersecurity use cases.
• Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering, analytics, and operational problems across a large enterprise environment.
• Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers, fine-tuning, content moderation, safety filters, and other model controls.
• Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and overall model performance before outputs are incorporated into VA efforts.
• Design and execute AI/ML model evaluation and validation methodologies, including benchmark testing and comparative evaluation of model outputs.

Minimum qualifications

• Minimum of 5 years of experience in relevant fields including IT security, data science, software engineering, design, development, or deployment of AI or machine learning systems in enterprise or Government environments.
• Experience working on data science, machine learning, or AI projects, either through internships, research projects, or professional roles.
• Experience building, training, and deploying machine learning models and AI systems in a production environment.
• Experience collaborating with cross-functional teams, including data scientists, software developers, and domain experts.
• Experience in data collection, cleaning, and analysis techniques to prepare datasets for AI modeling.
• Experience applying AI solutions to real-world problems in various enterprises and domains such as large corporations and Government agencies similar in size/scope to GSA, IRS, DoD or VA.

Preferred qualifications

• Master’s or PhD in AI, Computer Science, or related technical field.
• Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
• Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
• Track record of troubleshooting live, high-traffic systems during critical windows.
• Flexible work from home options available.