Jobs at Niyam IT

Manage and lead the proposal team, enhance proposal operations through AI tools, and drive process innovation while directly supervising team members and ensuring quality in proposal submissions.

Configure, maintain, and support IBM Maximo/MAS applications, implement enhancements using Maximo tools, perform testing, troubleshoot configuration defects, support data imports/exports, assist with reporting and documentation, and follow IT governance and change management.

Design, develop, test, and maintain IBM Maximo reports and KPI dashboards using BIRT and SQL. Configure, implement, and optimize Maximo workflows, escalations, notifications, and business rules. Gather requirements, troubleshoot issues, perform data analysis, support deployments, and maintain documentation to improve process automation and reporting accuracy.

Lead capture and business development for FEDCIV and DOW portfolios, owning pipeline and capture strategy for unrestricted opportunities over $50M. Build customer relationships, pursue task orders on GWACs/IDIQs, drive bid/no-bid decisions, partner with proposal teams on win themes and submissions, and report pipeline metrics to executive leadership.

The role involves designing, automating, and maintaining scalable infrastructure and deployment pipelines for software and AI/ML models, emphasizing CI/CD, cloud environments, and security best practices. Collaboration with software engineers and data scientists is key to deliver compliant solutions.

Lead and oversee federal AI/ML programs including planning, execution, budgeting, EVM, risk management, stakeholder engagement, agile delivery, quality control, and cross-functional team leadership. Ensure compliance with federal security and governance, support proposal efforts, and drive adoption of AI best practices.

Design, implement, and execute automated and manual test protocols (regression, smoke, integration, API, backend) using Java-based frameworks. Develop and maintain test scripts, validate data with SQL, collaborate with cross-functional teams, participate in risk assessments, and report results to stakeholders while following Agile and QA methodologies.

Design user-centered interfaces for legacy and modernized web applications; produce wireframes, prototypes, and design systems; collaborate with stakeholders and dev teams; ensure accessibility, usability, and timely delivery; mentor junior designers and apply user research to inform solutions.

Facilitate Scrum ceremonies, coach teams on Agile practices, manage product and sprint backlogs, capture and validate business and system requirements, remove impediments, ensure federal compliance (FedRAMP/NIST/FISMA), and liaise between technical teams and stakeholders to deliver mission-critical applications on schedule.

The AI Machine Learning Engineer will design, develop, and deploy AI/ML solutions, ensuring compliance with federal standards and improving operational efficiency.