AI Machine Learning Engineer

About Niyam IT (Niyam)

Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions.

Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.

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  Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
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  Niyam understands the value of flexibility. We offer remote work.
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  Niyam is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
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  We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam.

Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today!

Niyam is seeking an AI/ML Engineer to join our team in support of our work with a federal client. This role will focus on designing, developing, and deploying advanced AI/ML solutions that enhance operational efficiency, enable data-driven decision-making, and support evolving mission needs. The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps, along with experience working in secure, regulated environments.

This position requires collaboration across cross‑functional teams and a commitment to delivering scalable, ethical, and compliant AI solutions. We offer competitive compensation and benefits. This full‑time position will be hybrid to Ashburn, VA. This position is contingent upon award of contract.

• Design, develop, train, and validate advanced AI and machine learning models to support mission‑critical use cases for a federal client, ensuring alignment with operational objectives and data governance standards.
• Evaluate and select appropriate machine learning techniques, algorithms, and neural network architectures (e.g., supervised, unsupervised, deep learning), leveraging frameworks such as Tensor Flow and PyTorch to build scalable and efficient solutions.
• Perform end‑to‑end data lifecycle activities, including data collection, ingestion, cleansing, preprocessing, and feature engineering, ensuring data quality, integrity, and compliance with federal data management policies.
• Deploy AI/ML models into production environments, integrating with existing enterprise systems, cloud platforms, and APIs while ensuring high availability, scalability, and security.
• Establish and maintain MLOps pipelines to support continuous integration, continuous delivery (CI/CD), automated testing, model versioning, and performance monitoring across the model lifecycle.
• Monitor model performance over time, implement retraining strategies, and optimize models to ensure sustained accuracy, reliability, and operational effectiveness in dynamic environments.
• Identify, assess, and mitigate bias in datasets and model outputs, ensuring fairness, transparency, and adherence to ethical AI principles and applicable federal guidelines.
• Collaborate with cross‑functional teams, including data engineers, software developers, cybersecurity personnel, and program stakeholders, to translate mission and business requirements into technical AI/ML solutions.
• Document model development processes, methodologies, and results to support auditability, reproducibility, and compliance with federal standards and accreditation requirements.
• Support security and compliance…