Senior AI/ML Engineer

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.