AI/ML Engineer

BCMC, LLC
Falls Church, VA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Big Data Cyber Security Computer Programming Databases Continuous Integration Data Cleansing Information Engineering Data Integration Data Transformation
+28 more
Data Sharing Apache Hadoop Python (Programming Language) Machine Learning Performance Tuning Cloud Services Security Software Software Engineering Data Streaming Data Processing Feature Engineering Data Ingestion Large Language Models Apache Spark Malware Git SC Clearance Containerization Kubernetes Information Technology Deployment Automation Apache Kafka Machine Learning Operations Software Version Control Data Pipelines Api Management Docker Databricks

Job description

BCMC 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. We are 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

Requirements

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

Benefits & conditions

Extremely competitive salary

95% employer paid for employee medical, dental, & vision coverages

100% employer paid for employee life, STD & LTD disability coverages

401k with company match and profit sharing

Flexible Spending Account (FSA) for dependent & health care

11 standard holidays & 3 weeks of annual leave

About the company

Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO 9001:2015, ISO 27001:2013, 20000:2018, and CMMI L3 certified and registered promising highest quality and services to all of our clients.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all