AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Nwis. Arlington · full-time · $99,000–$206,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build data pipelines and automate malware sample intake, detonation, and classification workflows
- Connect AI and language-model services with Databricks and cloud platforms, then link pilot systems to production
- Create automation for data cleanup, feature preparation, monitoring, alerts, and API-based sharing
- Improve the Automated Malware Analysis platform and automate recurring technical work
- Work with analysts to find manual tasks to automate, document solutions, and scale them beyond pilots
What you bring
- You are a U.S. citizen with an active Secret clearance and can qualify for DHS Entry on Duty suitability
- At least five years in automation, data engineering, or software development
- You have built data ingestion pipelines on AWS and integrated or tuned AI and language models
- You bring Python and machine-learning pipeline experience, including Amazon Bedrock model access and API connections
- A computer science, data science, or related bachelor’s degree, or a high school diploma plus seven years of directly relevant work
Who this fits
This mid-level role suits an engineer who can turn analysts’ manual work into automated data and malware-analysis workflows. The work supports a U.S. Government customer and requires an active Secret clearance; TS/SCI is preferred. You must be able to obtain DHS Entry on Duty suitability.
From the employer
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
Nightwing is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. Nightwing is seeking a AI/ML Engineer to support this critical customer mission.
The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
Responsibilities:
- Develop automated data pipelines for machine learning technology integration initiatives
- Create automation workflows for malware sample collection, detonation, and taxonomy
- Implement AI/LLM integrations with Databricks and other cloud services
- Implement data integration automation between pilot and production systems
- Support Automated Malware Analysis (AMA) platform development and enhancement
- Develop scripts and tools to automate repetitive technical tasks
- Create data transformation and normalization automation
- Support AI/ML data preparation and feature engineering automation
- Develop monitoring and alerting automation for integrated systems
- Implement API integrations for data sharing and workflow automation
- Document automation solutions and maintain code repositories
- Support scaling automation from pilot to production environments
- Optimize automation performance and efficiency
- Collaborate with analysts to identify automation opportunities
- Ensure automation solutions maintain data quality and integrity
- Support continuous improvement of automated capabilities
Required Skills:
- U.S. Citizenship
- Active Secret clearance; TS/SCI preferred
- Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
- 5+ years of experience in automation engineering, data engineering, or software development
- Experience with data ingestion pipeline design on AWS
- Experience with AI/LLM configuration, tuning, and integration
- Experience with Machine Learning (ML) pipelines
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience Amazon Bedrock (model access, endpoints, API Integration)
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Understanding of database systems and data modeling
- Familiarity with version control (Git) and CI/CD practices
- Strong problem-solving and analytical skills
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Desired Skills:
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with Databricks and Databricks AI
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
Required Education:
BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
Desired Certifications:
- DoD 8140 IAT Level III
- CSSLP
Syndeo: ESS-3610
Salary & Benefits
Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances.
Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.