Qureos Mentor

The Brite Group

We are seeking a highly skilled and innovative Senior Data Scientist to join our advanced analytics and machine learning team. The ideal candidate will bring deep expertise across a range of AI/ML disciplines, including deep learning, classical machine learning, natural language processing (NLP), and Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs). You will be responsible for building and deploying cutting-edge models that solve real-world problems in complex data environments.Key Responsibilities:<ul><li>Lead development of predictive models using deep learning and classical machine learning algorithms.</li><li>Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).</li><li>Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.</li><li>Work with vector databases and graph databases for knowledge representation and retrieval.</li><li>Generate and use simulated data to support training and testing of ML models.</li><li>Perform data standardization, aggregation, and integration from structured and unstructured sources.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.</li><li>Document workflows, produce technical reports, and contribute to academic or industry publications.</li><li>Use version control tools to manage collaborative model development (e.g., GitHub).</li><li>Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.</li></ul>Required Qualifications:<ul><li>Minimum 8 years of hands-on experience in AI/ML software development using Python and R.</li><li>Strong background in deep learning, transformer-based NLP, and classical ML.</li><li>Experience with RAG, LLMs, and embedding-based retrieval systems.</li><li>Expertise in data wrangling, data standardization, and feature engineering.</li><li>Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).</li><li>Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.</li><li>Familiarity with version control systems (e.g., Git, GitHub).</li><li>Experience with cloud computing platforms (AWS, GCP, or Azure).</li><li>Demonstrated ability to produce high-quality technical documentation and research publications.</li><li>Master&rsquo;s degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.</li></ul>Preferred Qualifications:<ul><li>Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.</li><li>Knowledge of ML Ops practices and model deployment pipelines.</li><li>Prior experience in contributing to academic or technical publications.</li><li>Exposure to federal or enterprise-scale projects is a plus.</li></ul>Job Types: Full-time, ContractPay: $160,000.00 - $175,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you eligible for a Public Trust?</li></ul>Location:<ul><li>Reston, VA 20190 (Preferred)</li></ul>Ability to Relocate:<ul><li>Reston, VA 20190: Relocate before starting work (Required)</li></ul>Work Location: Hybrid remote in Reston, VA 20190

Senior Data Scientist

Job Overview We are seeking an experienced AI/ML Data Consultant to support the Federal Government in designing and implementing an enterprise-grade financial data automation ecosystem.This role will focus on integrating Financial Management (FM) data sources, automating critical workflows, and enabling advanced analytics and AI-driven capabilities. The objective is to reduce manual processes, improve data accuracy, enhance cost efficiency, and accelerate audit readiness across financial operations.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines to integrate multiple financial data sources</li><li>Automate financial workflows to improve efficiency and reduce manual intervention</li><li>Perform advanced data analysis using Python, PySpark, and SQL on large and complex datasets</li><li>Develop and deploy AI/ML and Generative AI (GenAI) solutions to support financial analytics and reporting</li><li>Build and operationalize Agentic AI use cases for intelligent process automation</li><li>Implement and optimize OCR solutions to extract structured data from unstructured financial documents</li><li>Leverage cloud and data platforms such as Databricks, Palantir, and Microsoft Power Platform</li><li>Develop dashboards, reporting tools, and visualizations for business and technical stakeholders</li><li>Collaborate with cross-functional teams including finance, engineering, and government stakeholders</li><li>Communicate technical concepts, insights, and recommendations to leadership and non-technical audiences</li></ul>Required Qualifications<ul><li>Active or Interim Secret Clearance (required to start)</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related discipline</li><li>5+ years of relevant experience in data engineering, data analytics, or AI/ML development</li><li>Strong programming expertise in:</li><li>Python (including PySpark)</li><li>SQL</li><li>Proven experience working with large-scale and complex datasets</li><li>Hands-on experience implementing OCR technologies</li><li>Solid understanding of:</li><li>Artificial Intelligence and Machine Learning concepts</li><li>Generative AI (GenAI)</li><li>Large Language Models (LLMs) and their practical applications</li><li>Experience with modern data/cloud platforms such as Databricks, Palantir, or Microsoft Power Platform</li><li>Excellent communication, stakeholder management, and presentation skills</li></ul>Preferred Qualifications<ul><li>Experience with Microsoft Power Automate and/or Power Apps</li><li>Prior experience supporting Department of Defense (DoD) or federal government clients</li><li>Familiarity with financial systems, audit processes, and compliance frameworks</li><li>Experience delivering AI-enabled automation solutions in production environments</li></ul>Pay: $105,000.00 - $115,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Security clearance:<ul><li>Secret (Required)</li></ul>Work Location: Hybrid remote in Andrews Air Force Base, MD 20762

AI/ML Data Consultant

Job Summary We are seeking a highly experienced Senior Data &amp; AI Consultant to support the Department of the Air Force (DAF) in designing and implementing an enterprise-scale financial data automation ecosystem.This role will focus on integrating Financial Management (FM) data sources, automating critical workflows, and enabling advanced analytics and AI-driven capabilities to enhance operational efficiency, reduce redundancy, and accelerate audit readiness.Key Responsibilities<ul><li>Design, develop, and optimize scalable data pipelines integrating multiple financial data sources</li><li>Lead the development of automated financial workflows to reduce manual processes</li><li>Perform advanced data analysis using Python, PySpark, and SQL on large-scale datasets</li><li>Architect and implement AI/ML and Generative AI (GenAI) solutions for financial analytics and reporting</li><li>Develop and operationalize Agentic AI use cases for intelligent automation</li><li>Implement and enhance OCR solutions to extract structured data from unstructured documents</li><li>Utilize modern platforms such as Databricks, Palantir, and Microsoft Power Platform</li><li>Build dashboards, reporting solutions, and data visualizations for executive and technical stakeholders</li><li>Collaborate with cross-functional teams including finance, engineering, and government stakeholders</li><li>Present complex technical solutions and insights to leadership in a clear and actionable manner</li></ul>Required Qualifications<ul><li>Active or Interim Secret Clearance (required to start)</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li>8+ years of experience in data engineering, data analytics, or AI/ML development</li></ul>Strong hands-on expertise in:<ul><li>Python (including PySpark)</li><li>SQL</li><li>Proven experience working with large, complex, and distributed datasets</li><li>Hands-on experience implementing OCR technologies in production environments</li></ul>Strong understanding of:<ul><li>Artificial Intelligence and Machine Learning</li><li>Generative AI (GenAI)</li><li>Large Language Models (LLMs) and real-world applications</li><li>Experience with cloud/data platforms such as Databricks, Palantir, or Microsoft Power Platform</li><li>Excellent communication, stakeholder management, and presentation skills</li></ul>Preferred Qualifications<ul><li>Experience with Microsoft Power Automate and/or Power Apps</li><li>Prior experience supporting Department of Defense (DoD) or federal government clients</li><li>Knowledge of financial systems, audit readiness, and compliance frameworks</li><li>Experience delivering AI-driven automation solutions in enterprise environments</li></ul>Pay: $120,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Security clearance:<ul><li>Secret (Required)</li></ul>Work Location: Hybrid remote in Andrews Air Force Base, MD 20762

AI Data Consultant- Sr. Level

Join The Brite Group and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

The Brite Group

About Company

Senior Data Scientist

AI/ML Data Consultant

AI Data Consultant- Sr. Level