Advanced AI Infrastructure Architect for Federal Use Cases
6 days ago
At Steampunk, we're changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. Our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, aligning the organization and its data assets in support of the mission.
We're seeking an experienced Senior Machine Learning Ops Engineer to join our team. This role focuses on AI/ML infrastructure assessment and pipeline development to support cutting-edge AI solutions, particularly around Generative AI and Retrieval-Augmented Generation for Federal use cases.
About the RoleIn this position, you'll lead efforts to build, optimize, and scale advanced AI/ML infrastructure that supports Federal use cases. You'll assess and design AI/ML infrastructure to support scalable and secure deployment of machine learning models, including generative AI pipelines.
- Evaluate and improve the performance, reliability, and scalability of AI/ML pipelines, identifying and addressing bottlenecks.
- Implement MLOps best practices for automating model deployment, monitoring, and retraining processes in production.
- Collaborate with Data Scientists and Software Engineers to transition models from research into production-grade pipelines.
You'll also be responsible for implementing DevSecOps principles to maintain secure, reliable operations for AI/ML workflows, including CI/CD integration.
This role requires strong expertise in cloud platforms (AWS, Azure, GCP) and experience with AI/ML tools like AWS SageMaker, Azure OpenAI, or similar.
About SteampunkSteampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health, and DoD sectors. We focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth.
The projected compensation range for this position is $115,000 to $150,000, depending on factors such as geographic location, education, knowledge, skills, competencies, and experience.
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