Top Tech Jobs & Startup Jobs

Design, build, validate, and present production-ready NLP models: preprocess text, engineer features, select and train ML/deep learning/transformer models, evaluate results, and communicate insights to federal clients.

Design, train, deploy, and monitor ML/AI models and MLOps pipelines (including NLP, LLM, RAG, generative AI). Optimize performance, integrate models into applications/APIs, ensure security, documentation, and collaboration with engineers, analysts, and SMEs for federal missions.

Lead design, build, optimization, and operation of scalable Databricks-based batch and streaming data pipelines for healthcare programs. Ensure DataOps, data quality, lineage, observability, CI/CD, and compliance with CMS and federal healthcare regulations. Collaborate with architects, data scientists, and stakeholders, troubleshoot production issues, and mentor junior engineers.

Lead architect for enterprise data science and advanced analytics. Design scalable Databricks/Spark-based data platforms, end-to-end ML workflows, and data architectures. Provide technical vision, mentor teams, establish model governance, and partner with stakeholders to deliver production ML and analytics solutions.

Lead DevSecOps architect designing and implementing secure, automated, scalable cloud and hybrid data platforms (Databricks/AWS). Build CI/CD and IaC pipelines, integrate security and compliance, mentor teams, drive platform standardization, and provide strategic architecture guidance to stakeholders and executives.

Lead fraud analytics efforts to detect identity theft, fabricated entities, and emerging schemes. Validate models and rules via return- or case-level review, identify patterns, support stakeholder briefings, translate analytics into operational mitigation and treatment recommendations, and produce dashboards and documentation for leadership and oversight.

Lead and coordinate a mission-critical IRS fraud analytics program: manage multi-workstream execution, align contractor activities with government priorities, translate model and metric results into actionable recommendations, and oversee portfolio-level reporting and risk tracking.