Senior AI-ML Engineer
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Job Location:
Suitland, MD - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
We are seeking a Senior-level AI/ML Engineer to design develop and deploy advanced artificial intelligence and machine learning solutions in support of mission-critical government programs. This role requires deep expertise in architecting scalable high-performing AI systems on cloud platforms integrating AI/ML models with enterprise systems and leveraging big data processing to drive intelligent outcomes.
The ideal candidate brings hands-on experience with cloud-based AI platforms advanced machine learning techniques and Responsible AI practices and thrives in a collaborative fast-paced technical environment.
Responsibilities
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Design develop and deploy scalable AI/ML solutions on cloud platforms.
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Architect high-performing AI systems for predictive analytics natural language processing and computer vision applications.
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Implement and manage AI/ML pipelines and tooling in cloud environments.
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Integrate AI/ML models with existing enterprise and cloud-based systems to ensure seamless operations.
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Apply advanced machine learning techniques and big data processing to enhance model performance.
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Adhere to Responsible AI (RAI) policies and develop metrics to evaluate AI solution effectiveness.
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Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and integration.
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Stay current with emerging AI/ML technologies tools and industry best practices.
Qualifications
Required
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Active TS/SCI clearance.
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Bachelors or Masters degree in Computer Science Information Technology Management Information Systems or a related STEM field.
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610 years of experience in AI/ML development and deployment.
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Proven experience in designing and implementing AI/ML solutions and cloud-based pipeline tools.
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Advanced expertise in architecting scalable high-performing AI systems for NLP computer vision and predictive analytics.
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Extensive experience with cloud AI platforms such as Azure Machine Learning AWS SageMaker or Google Vertex AI.
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Strong background in big data processing and advanced ML techniques.
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Demonstrated ability to integrate AI/ML models with enterprise systems and cloud environments.
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Deep proficiency in machine learning programming languages such as Python or R.
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In-depth knowledge of AI cloud tools and capabilities.
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Understanding of Responsible AI (RAI) principles metrics and evaluation methodologies.
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Relevant certifications such as:
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Azure Solutions Architect
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AI Engineer Associate (or equivalent)
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AWS Certified Machine Learning
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Security
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Desired
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Experience with containerization and orchestration technologies (Docker Kubernetes).
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Knowledge of DevOps practices and CI/CD pipelines.
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Familiarity with data visualization tools and techniques.
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Strong problem-solving skills and ability to perform effectively in a fast-paced environment.
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
