Creative Information Technology, Inc.

Lead and manage the full recruitment lifecycle and TA team, ensuring delivery, coaching recruiters, and maintaining hiring pipelines for US State Government IT roles. | 15+ years US staffing experience, 3+ years leading recruitment teams, strong leadership and sourcing skills, excellent communication, and knowledge of US hiring compliance. | Recruitment Manager – US Staffing (Remote, India) About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Role and Responsibilities • Lead the full recruitment lifecycle and manage the entire TA team with accountability on delivery. • Mentor, coach, and scale recruiter performance while maintaining weekly reports, KPIs, and quality checks. • Partner closely with internal leadership, project owners, and delivery managers to set hiring roadmaps and execution plans. • Drive submittals, rate negotiations, interview readiness, offer closures, and onboarding without missing SLAs. • Run daily/weekly syncs, maintain dashboards, ensure compliance, and keep hiring funnels consistently healthy. • Build and maintain strong talent pipelines across niche IT roles, especially those tied to US State Government and Public Sector programs. • Optimize sourcing strategies using job boards, passive search, internal talent pools, and recruiter enablement. Minimum Qualification • 15+ years of US staffing experience with proven delivery across enterprise IT and US State Government accounts. • Minimum 3+ years leading recruitment teams and managing performance at scale. • Strong people leadership, coaching ability, and a no-nonsense approach to driving targets. • Advanced sourcing game — speed, creativity, and persistence to close tough roles fast. • Excellent communication, stakeholder alignment, and the ability to work US shifts comfortably. • Deep understanding of US hiring models, compliance, tax terms, onboarding flows, and client expectations.

Design and execute QA strategies for AI-enabled software systems including testing model accuracy, API/UI test cases, automated regression, and collaborating with data engineers and developers. | Bachelor's degree in related field, 8+ years software QA experience including AI/ML testing, strong SQL and automated testing skills, Agile experience, and excellent communication. | Senior QA Tester About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Role and Responsibilities The Quality Assurance Consultant provides quality management for information systems using the standard methodologies, techniques, and metrics for assuring product quality and key activities in quality management. This individual is responsible for performing the following tasks: • Establishing capable processes, monitoring and control of critical processes and product mechanisms for feedback of performance, implementing effective root cause analysis and corrective action system, and continuous process improvement. • Providing strategic quality plans in targeted areas of the organization. • Providing QA strategies to ensure continuous production of products consistent with established industry standards, government regulations, and customer requirements; and • Developing and implementing life cycle and QA methodologies and educating and implementing QA metrics. • Define and execute comprehensive QA strategies for AI-enabled software systems, including testing for model accuracy, bias, drift, and output consistency. • Design test cases for APIs or UIs that consume predictions from NLP models, classifiers, or AI assistants. • Validate data flows from ingestion pipelines through model inference and response rendering across multiple systems. • Partner with data engineers and scientists to verify pre-processing logic, validate predictions, and interpret edge-case outcomes. • Develop test cases and scenarios for model explainability (e.g., SHAP, LIME) and human-in-the-loop validation workflows. • Participate in agile sprint activities and act as QA lead for releases involving AI/ML features. • Perform database queries and SQL validation to confirm training and inference dataset consistency. • Maintain and enhance automated regression and integration test suites using tools like PyTest, Postman, Cypress, JMeter, or Selenium. • Support testing of user-facing AI features like chatbots, recommendations, smart prompts, or classification-driven workflows. • Conduct 508 accessibility, performance, and cross-browser testing for intelligent UI components. • Collaborate with developers and MLOps engineers to debug pipeline errors and track model prediction anomalies. • Monitor and test AI system behavior after model retraining, deployment, or feedback loop adjustment. Minimum Qualification • This position requires a Bachelor’s degree from an accredited college or university in Engineering, Computer Science, Information Systems or a related discipline. • The proposed candidate must have at least five (5) years of experience working with statistical methods and quality standards. This individual must have a working QA/process knowledge and possess superior written and verbal communication skills. • AI/ML testing or data science coursework/certification a plus. • At least eight (8) years of software quality assurance experience, with increasing responsibility in testing enterprise systems. • Minimum three (3) years working with or supporting projects involving AI/ML services or data science teams. • Experience testing AI/ML model integration in enterprise applications (e.g., validation of model inferences, confidence scores, and response behaviors. • Familiarity with ML model lifecycle, training/inference pipelines, and feedback loop workflows. • Hands-on experience testing RESTful APIs, data APIs, or AWS-hosted AI services (e.g., SageMaker). • Experience with automated test frameworks and performance testing tools (e.g., JMeter, PyTest, Selenium, Postman, Newman). • Strong skills in writing and executing SQL for test data validation and pre/post inference checks. • Experience with JSON-based payloads, OpenAPI/Swagger, and mock service tools. • Ability to triage and analyze AI prediction issues related to data quality, model logic, or system design. • Familiarity with ethical AI practices, including model bias testing, fairness, and transparency, is a plus. • Excellent communication skills for bridging technical and non-technical stakeholders around complex AI test cases. • Experience in Agile teams, working with tools like JIRA, Confluence, GitHub, TestRail, or similar. Preferred Qualifications • The proposed candidate must have at least eight (8) years of information systems quality assurance experience.