Machine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
About the role
- AI/ML Engineer developing advanced solutions for federal client at Niyam IT. Focusing on AI/ML models and operational efficiency improvement in federal environments.
Responsibilities
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer at Capital Group, designing Generative AI systems to enhance investment processes. Collaborating with professionals to translate ideas into reliable, production - grade systems
Senior AI/ML Engineer designing and deploying AI/ML solutions for validation challenges at Micron. Working on machine learning models and optimization solutions to enhance product quality and validation efficiency.
Machine Learning Engineer focusing on MLOps and software engineering at flaschenpost, ensuring robust planning and operational success through ML products.
AI ML Engineer at global networking leader, shaping ML strategy and building high - performance systems. Innovating with AI technology to enhance network management and develop flagship products.
Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
Staff Machine Learning Engineer developing the next generation of AI Agent OS and SDKs for GEICO. Key responsibilities include architecting scalable systems and implementing observability frameworks.
Senior Machine Learning Engineer at Bumble developing scalable AI systems for personalized user interactions. Leading machine learning model development and deployment from exploration to production.
Lead Machine Learning Engineer at Bumble shaping user connections through machine learning. Driving end - to - end AI solutions while mentoring engineers in a hybrid work environment.
Designing and operating cloud - based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high - impact AI solutions.