Sev1Tech LLC · 2 days ago
MLOps Engineer
Arlington, VA
Full-time
Onsite
Senior Level
5+ years expSev1Tech LLC is a leading provider of IT modernization, engineering, and program management solutions. The MLOps Engineer will ensure the seamless deployment, monitoring, and optimization of AI models in production, focusing on building scalable infrastructure and maintaining end-to-end machine learning pipelines.
ConsultingCyber SecurityInformation TechnologyInfrastructureSecurity
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Model Deployment: Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS SageMaker, ensuring scalability and low latency
Monitoring and Observability: Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends
Data Drift Detection: Implement drift detection pipelines using tools like Evidently AI or Alibi Detect to identify shifts in data distributions and trigger alerts or retraining
Logging and Tracing: Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance
Pipeline Automation: Develop CI/CD pipelines with GitHub Actions or Jenkins to automate model updates, testing, and deployment
Security and Compliance: Apply secure-by-design principles to protect data pipelines and models, using encryption, access controls, and compliance with regulations like GDPR or NIST AI RMF
Collaboration: Work with data scientists, AI Integration Engineers, and DevOps teams to align model performance with business requirements and infrastructure capabilities
Optimization: Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud
Documentation: Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency
Qualification
Required
Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
Experience: 5+ years in MLOps, DevOps, or software engineering with a focus on AI/ML systems
Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML)
Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring
Technical Skills: Proficiency in Python and SQL; familiarity with JavaScript or Go is a plus
Expertise in containerization (Docker, Kubernetes) and CI/CD tools (GitHub Actions, Jenkins)
Knowledge of time-series databases (e.g., InfluxDB, TimescaleDB) and logging frameworks (e.g., ELK Stack, OpenTelemetry)
Experience with drift detection tools (e.g., Evidently AI, Alibi Detect) and visualization libraries (e.g., Plotly, Seaborn)
AI-Specific Skills: Understanding of model performance metrics (e.g., precision, recall, AUC) and drift detection methods (e.g., KS test, PSI)
Familiarity with AI vulnerabilities (e.g., data poisoning, adversarial attacks) and mitigation tools like Adversarial Robustness Toolbox (ART)
Soft Skills: Strong problem-solving and debugging skills for resolving pipeline and monitoring issues
Excellent collaboration and communication skills to work with cross-functional teams
Attention to detail for ensuring accurate and secure dashboard reporting
Must be eligible to obtain a Department of Homeland Security EOD clearance (Requirements 1. US Citizenship, 2. Favorable Background Investigation)
Preferred
Experience with LLM monitoring tools like LangSmith or Helicone for generative AI applications
Knowledge of compliance frameworks (e.g., GDPR, HIPAA) for secure data handling
Contributions to open-source MLOps projects or familiarity with X platform discussions on #MLOps or #AIOps
Company
Sev1Tech LLC
Sev1Tech is a leader in providing innovative technology, high-end engineering and mission solutions and services.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$60MKey Investors
DFW Capital
2019-08-30Series Unknown· $21.5M
2019-03-18Private Equity· $38.5M
Leadership Team
Vladimir Aleksiev
Vice President Commercial Space Solutions
Recent News
Washington Technology
2025-12-04
Charleston Business
2025-10-23
Washington Technology
2025-10-18
Company data provided by crunchbase