Senior AI/ML Engineer

Blu Omega LLC; Ashburn (VA); Remote; USD 140,000 - 155,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

401(k) with company match

Life and AD&D insurance

Short-term and long-term disability

EAP with 24/7 support

Telehealth and virtual care

PTO and paid holidays

Wellness programs and discounts

Job summary

Blu Omega LLC, headquartered in Ashburn, VA, seeks a Senior AI/ML Engineer to define and develop mission-critical machine learning solutions in a cloud environment. The role is remote-friendly with local preference in ATL, GA or DC-Metro.

You will write production-grade Python, design ML workflows (including generative AI/RAG), and deploy models using SageMaker, Azure ML, and Databricks, collaborating across software, data science, and DevOps teams.

Qualifications

• 5–10+ years building production-grade ML systems.
• Expert Python with testing, packaging, logging, CI/CD.
• Experience deploying models to cloud-native platforms.
• Strong data pipelines in distributed environments.
• Public Trust eligibility or equivalent clearance.

Responsibilities

• Write, test, and maintain production-quality Python for ML models.
• Design robust ML workflows including generative AI and RAG pipelines.
• Build scalable training/inference pipelines in the cloud.
• Collaborate with engineers, data scientists, and DevOps.
• Lead experiments, code reviews, and ML lifecycle practices.
• Mentor junior engineers and contribute to knowledge sharing.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLOps

GitHub

JIRA

CI/CD

Education

Bachelor's degree in Computer Science or Data Science

Tools

SageMaker

Azure ML

Databricks

Airflow

Job description

Back Senior AI/ML Engineer

Application Development Ashburn , VA Sep 21, 2026

Senior AI/ML Engineer
Remote - Local to ATL, GA or DC-Metro Preferred

Blu Omega is seeking a Senior AI/ML Engineer to support our Federal Health team. This role is responsible for defining and developing mission-critical machine learning solutions within a cloud environment.

Program Overview
Supporting federal health initiatives through advanced AI and machine learning solutions.

Key Details
Location: Remote - Local to ATL, GA or DC-Metro Preferred
Clearance / Suitability: Public Trust eligibility required.

Responsibilities

• Write, test, and maintain production-quality code in Python to develop, deploy, and optimize machine learning models.
• Design and implement robust ML workflows—including generative AI, agent-based architectures, and RAG pipelines.
• Build scalable, automated training and inference pipelines using cloud-native tools (e.g., AWS SageMaker, Azure ML, Databricks).
• Collaborate with software engineers, data scientists, and DevOps to integrate ML solutions into real-time and batch production systems.
• Conduct code reviews, refactor legacy codebases, and enforce best practices in ML model lifecycle management.
• Lead experiments and A/B testing initiatives to validate model performance and business impact.
• Stay current with new AI research and help translate novel ideas into prototypes and products.
• Document architectural decisions and development patterns to support reproducibility and knowledge sharing.
• Mentor junior engineers and participate in coding bootcamps or pair programming sessions.

Required Qualifications

• 5–10+ years of professional software development experience building production-grade ML systems.
• Expert-level coding skills in Python, with knowledge of testing, packaging, logging, and CI/CD practices.
• Deep experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Demonstrated experience deploying ML models into production environments using cloud-native tools (e.g., SageMaker, Azure ML, MLflow, Airflow).
• Proficient in building and maintaining large-scale data pipelines in distributed environments.
• Proven ability to implement MLOps practices supporting scalable ML (versioning, monitoring, retraining).
• Experience with generative AI, agent frameworks, and retrieval-augmented generation (RAG) pipelines.
• Ability to translate business problems into technical solutions with clear deliverables.
• Familiarity with GitHub, JIRA, and Agile/Scrum methodologies.
• Bachelor's degree in Computer Science, Data Science, or related technical field.
• Eligible for Public Trust or equivalent clearance.

Salary Range: $140,000.00 - $155,000.00
Final compensation is based on technical skills, experience, education, certifications, and clearance.

Blu Omega Benefits & Perks

• Medical, Dental, and Vision coverage through national providers
• 401(k) with company match (eligible after 6 months; vesting applies)
• Company-paid Life and AD&D insurance with additional voluntary options
• Short-term disability (company-paid) and long-term disability options
• Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
• Telehealth and virtual care options through medical plans
• Pet insurance, legal services, and identity theft protection options
• Paid Time Off (PTO) for eligible employees
• Paid federal holidays for salaried employees
• Access to wellness programs, discounts, and lifestyle benefits
• Benefits eligibility and offerings may vary based on role and employment status

Company Overview
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support.

Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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