Note: The job is a remote job and is open to candidates in USA. Blu Omega is a technology and cybersecurity solutions provider serving federal agencies and enterprise clients. The company is seeking a Senior AI/ML Engineer to define, develop, deploy, and optimize mission-critical machine learning solutions in cloud environments, including generative AI, agent-based architectures, and RAG pipelines. The role also involves collaborating across engineering teams, leading experiments, documenting development practices, and mentoring junior engineers.
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
Skills
- Public Trust eligibility required
- * 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
- Remote - Local to ATL, GA or DC-Metro Preferred
- Location: Remote - Local to ATL, GA or DC-Metro Preferred
Benefits
- 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
Company Overview