Senior AI/ML Platform Engineer

Position Overview

We are looking for an experienced Senior AI/ML Platform Engineer to lead the development and deployment of scalable artificial intelligence and machine learning solutions. This role is ideal for a hands-on engineer who enjoys building production-ready systems, solving complex technical challenges, and delivering AI-driven capabilities across cloud-native environments.

The successful candidate will bring a strong software engineering background, deep expertise in machine learning platforms, and practical experience operationalizing AI solutions from concept to production.

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST)

Required Qualifications

• Must be a US Citizen/ Permanent Resident able to be employed as a Fulltime Employee. Due to the nature of the contract we cannot work any with layers / vendors or offer this role to anyone who needs sponsorships or has a temporary work visa.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
• 10+ years of experience in software engineering, cloud engineering, or related IT disciplines
• Minimum 3 years of hands-on experience developing and implementing AI/ML solutions
• At least 4 years of experience working within AWS environments
• Demonstrated success deploying machine learning models and AI applications into production
• Strong software development skills with the ability to design, build, test, and maintain end-to-end solutions

Technical Expertise

• AI/ML Technologies
• Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras
• Knowledge of Large Language Models (LLMs), prompt engineering techniques, and NLP-based solutions
• Experience designing, training, and optimizing machine learning models for production use
• Software Development
• Strong proficiency in Python and Java
• Experience developing RESTful APIs and ML inference services using FastAPI
• Solid understanding of software engineering best practices, testing, and performance optimization
• Cloud & Infrastructure
• Hands-on expertise with AWS services including Lambda, EC2, S3, DynamoDB, API Gateway, ECS/Fargate, and IoT Core
• Experience implementing Infrastructure as Code using Terraform
• Strong understanding of containerization and orchestration technologies including Docker and Kubernetes
• Knowledge of distributed systems and cloud-native architectures

Additional Experience

• Experience integrating edge devices and cloud-based systems
• Proven ability to build and support scalable, resilient AI platforms
• Strong troubleshooting and system optimization skills

Key Responsibilities

• Design, develop, and deploy enterprise-scale AI and machine learning applications
• Build and maintain robust ML pipelines that support model training, deployment, monitoring, and lifecycle management
• Develop intelligent applications leveraging LLMs, generative AI, and NLP technologies
• Create and support high-performance inference services and APIs for production environments
• Automate infrastructure provisioning and platform management using Terraform and AWS services
• Deploy and manage containerized workloads using Kubernetes and Docker
• Collaborate with product, engineering, and data teams to deliver business-critical AI solutions
• Monitor system performance, troubleshoot issues, and continuously improve reliability and scalability
• Take ownership of solutions throughout the full development lifecycle, from implementation through production support

Preferred Candidate Profile

We are seeking a builder who thrives in a hands-on engineering environment and has a proven track record of delivering production-grade AI/ML systems. The ideal candidate combines strong software engineering fundamentals with practical experience deploying modern AI technologies at scale.