Job Title: AI/ML Engineer

Company Name: ForwardIT

Job Url: https://www.simplyhired.com/job/lkAnk7WGHcoT64VIRpTtFvQMmSMpCKK7PMsWqRUcgDXbyuLF4Cx5YA

Job Description: AI/ML Engineer
ForwardIT
Remote

Job Details
Full-time
$55 - $65 an hour
12 hours ago
Qualifications
Application Integration
TensorFlow
DevSecOps Practices
Data Integration (Data management)
FedRAMP
Computer Science
PyTorch
AWS Certified Machine Learning – Specialty
Technical documentation
Enterprise software
Engineering
Prompt engineering
8 years
Technical solutions implementation
AWS
Bachelor’s degree in engineering
Bachelor's degree
Model deployment
Natural language processing
ServiceNow
IT
Machine learning libraries
Senior level
AI
Bachelor's degree in computer science
Machine learning frameworks
Active Directory
Generative AI
Cloud services
Full Job Description
Duration: 8–10 Weeks | Schedule: Full-Time | Location: Remote Pay Rate: $60–$65/hour | Min. Experience: 8+ Years | Min. Education: Bachelor's Degree in CS or Engineering

Overview

ForwardIT is seeking experienced AI/ML Engineers to design, develop, and deploy enterprise generative AI capabilities within a federal production environment. The total hours allocated for this labor category are substantial, and we anticipate filling multiple positions. This is a fully remote engagement under a government subcontract with a full-time schedule. Daily availability during core hours is required for brief check-ins; all other hours are flexible. Government contracting or federal environment experience is strongly preferred.

Responsibilities

Design, develop, and deploy AI/ML solutions using AWS Bedrock, Lex, and Kendra to enable natural language query and conversational AI capabilities
Implement NLP pipelines, prompt engineering, and model optimization to ensure accuracy and performance in production
Integrate AI services with enterprise data sources, ensuring seamless data flow and interoperability
Support testing, tuning, and deployment of AI models in compliance with federal Responsible AI standards
Collaborate with cloud architects, integration engineers, and DevSecOps to deliver production-ready capabilities
Contribute to technical documentation and code review processes
Required Qualifications

8+ years of AI/ML engineering experience
Hands-on experience with AWS AI/ML services, specifically Bedrock, Lex, and/or Kendra
Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.)
Experience with NLP pipelines, prompt engineering, and LLM deployment
Familiarity with federal Responsible AI principles and compliance requirements
Bachelor's Degree in Computer Science, Engineering, or a related field required
Preferred Qualifications

Federal government IT contracting experience
AWS Certified Machine Learning – Specialty or equivalent
Experience deploying AI in FedRAMP Moderate or GovCloud environments
Background integrating AI services with enterprise systems (ServiceNow, Active Directory, etc.)
Job Type: Full-time

Pay: $55.00 - $65.00 per hour

Work Location: Remote