Steampunk, Inc. · 2 months ago
Senior Machine Learning Ops Engineer
US-VA-McLean
Full-time
Onsite
Senior Level
$140K/yr - $190K/yr
7+ years expSteampunk, Inc. is a Change Agent in the Federal contracting industry, focusing on innovative solutions for clients in various sectors. They are seeking a Senior ML Ops Engineer to lead the development and optimization of AI/ML infrastructure, particularly for Generative AI and Retrieval-Augmented Generation pipelines, ensuring high performance and scalability for Federal use cases.
ConsultingInformation Technology
No H1B
Security Clearance Required
Responsibilities
Assess and design AI/ML infrastructure to support scalable and secure deployment of machine learning models, including generative AI pipelines
Build, develop, and optimize Gen AI and RAG pipelines, ensuring seamless integration with existing systems and infrastructure
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
Continuously monitor AI/ML infrastructure and pipelines to ensure high performance, security, and compliance
Use cloud-native services (AWS, Azure, GCP) to deploy scalable and cost-effective solutions, including leveraging tools such as AWS SageMaker, Azure OpenAI, and others
Apply DevSecOps principles to maintain secure, reliable operations for AI/ML workflows, including CI/CD integration
Stay up-to-date on the latest research, trends, and tools in AI/ML, implementing cutting-edge technologies into infrastructure solutions
Contribute to the growth and innovation of our Data Exploitation Practice by delivering best-in-class AI/ML infrastructure solutions
Qualification
Required
Ability to hold a position of public trust with the US government
Master's degree in related program and 8 years of experience (7 of which must be relevant); OR Bachelor's degree in related program and 10 years of relevant experience; OR No degree and 16 years of relevant experience
Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained
7+ years of experience in AI/ML infrastructure assessment, development, and deployment, with a focus on production-grade pipeline development
Proven experience in building and scaling AI/ML pipelines, including generative AI models like GANs, VAEs, and Transformer-based architectures
Strong proficiency in Python and best practices for scalable and efficient coding; experience with R is a plus
Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or JAX and a solid understanding of neural network architectures
Expertise in cloud platforms (AWS, Azure, GCP) and experience with AI/ML tools like AWS SageMaker, Azure OpenAI, or similar
Practical experience with MLOps tools and frameworks, including automation of deployment, monitoring, and model management
Familiarity with DevSecOps practices to ensure secure and compliant deployment of AI/ML solutions
Strong knowledge of data pipeline tools and data visualization platforms, such as Tableau, Power BI, or D3
Experience with version control (Git), Bash, Unix commands, and cloud infrastructure automation tools
Preferred
Familiarity with search technologies like Elasticsearch, AWS Kendra, or Azure Cognitive Search is a plus
Company
Steampunk, Inc.
Steampunk is anchored by a startup culture with a customer-centered delivery approach, we put our Federal government clients in the center of everything we design, develop, and deliver to drive high-quality mission impacts and user experiences at speed.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
AcceliCITY powered by Leading Cities
2024-07-31Non Equity Assistance
Leadership Team
Matt Warren
CEO
Mike Saliter
Executive Vice President - Homeland, Commerce, & Justice
Recent News
Washington Technology
2025-10-01
2024-05-21
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