AI Machine Learning Engineer
Niyam IT
full-time
Posted on:
Location Type: Hybrid
Location: Ashburn • Virginia • United States
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About the role
- Design, develop, train, and validate advanced AI and machine learning models to support mission-critical use cases for a federal client.
- Evaluate and select appropriate machine learning techniques, algorithms, and neural network architectures including frameworks such as TensorFlow and PyTorch.
- Perform end-to-end data lifecycle activities, ensuring data quality, integrity, and compliance with federal data management policies.
- Deploy AI/ML models into production environments, integrating with existing systems, cloud platforms, and APIs.
- Establish and maintain MLOps pipelines to support CI/CD, automated testing, and performance monitoring.
- Monitor model performance over time, implement retraining strategies, and optimize models.
- Identify, assess, and mitigate bias in datasets and model outputs.
- Collaborate with cross-functional teams, including data engineers and software developers.
- Document model development processes to support auditability and compliance.
- Support security and compliance initiatives by aligning AI/ML solutions with frameworks such as NIST and FedRAMP.
Requirements
- US Citizenship with ability to obtain a Public Trust.
- Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline from an accredited institution.
- 8+ years of progressive experience designing, developing, and deploying machine learning or artificial intelligence solutions within enterprise or mission-driven environments.
- Demonstrated experience with machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
- Hands-on experience with data preprocessing, feature engineering, and working with large, complex datasets in both structured and unstructured formats.
- Proven experience deploying and operationalizing AI/ML models in production environments, including integration with cloud platforms (e.g., AWS, Azure, or GCP).
- Experience implementing MLOps practices, including CI/CD pipelines, model monitoring, versioning, and lifecycle management.
- Strong understanding of responsible AI practices, including bias detection, model explainability, and ethical AI considerations.
- Familiarity with federal security and compliance frameworks (e.g., NIST, FedRAMP) and experience working within regulated environments is preferred.
- Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate across technical and non-technical stakeholders.
- Local to Ashburn, VA and available to work onsite as needed.
Benefits
- Flexible Work Hours : Life doesn’t always fit into a 9-to-5 schedule.
- Remote Work : Niyam understands the value of flexibility.
- Career Growth : Niyam is not just a job; it’s a career journey.
- Great People : Our people are the blueprint of who Niyam is to the industry and community.
- Great Environment : Niyam fosters a great environment where innovation, collaboration, and personal growth thrive.
- Diversity & Inclusion : We believe in the strength of diverse perspectives.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencedata preprocessingfeature engineeringmodel monitoringmodel explainabilitybias detectionCI/CDMLOpsdata lifecycle management
Soft Skills
analytical skillsproblem-solvingcommunicationcollaboration
Certifications
Bachelor’s degreePublic Trust