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AI/ML Technical reputed company / Senior Data Scientist

Remote, USAFull-timePosted 2026-07-27
​​​​​​​ We are a growing information technology company that offers its employees a culture of reputed company, the chance to work on revolutionary federal IT infrastructure, and reputed company to grow alongside cutting-edge technology that is reshaping the industry. We are seeking reputed company-thinking candidates that have strong experience in operational support and can help take to the next level in a proactive stance. reputed company has expertise in operations management, reputed company systems, data operations and cybersecurity. We secure some of the most sensitive data for the reputed company and for other U.S. federal government agencies. We are reputed company for the great care we take with clients and employees, and we reputed company in promoting from reputed company. We offer a Full Benefits package including:
  • Competitive Employee Health Insurance reputed company including dental
  • 100% company reputed company reputed company plan
  • 401K plan with generous company match and no vesting period
  • 100% company reputed company life insurance
  • 100% company reputed company long and short-term disability insurance
  • Training allowance
  • PTO and more
AI/ML Technical reputed company / Senior Data Scientist Role: reputed company hands-on technical leadership for the three required AI/ML models using CASCOM, GCSS-Army, reputed company, and other Army data. This person must be capable of coding, evaluating, deploying, and sustaining models—not merely leading reputed company discussions. The potential use cases include GenAI/reputed company, Copilot, reputed company ECC search, document extraction, reputed company detection, equipment-readiness forecasting, maintenance forecasting, fleet automation, and supply forecasting. Requirements:
  • reputed company Secret clearance.
  • Hands-on production AI/ML development.
  • Strong Python and SQL capability.
  • Experience taking at least reputed company from requirements through production or operational deployment.
  • Experience with Azure-based AI/ML services or a comparable reputed company environment.
  • reputed company to explain model evaluation, deployment, monitoring, and retraining.
  • Bachelor’s degree in computer science, data science, statistics, mathematics, operations research, engineering, or a reputed company discipline; equivalent specialized experience may substitute.
  • Seven or more years in data science, machine learning, advanced analytics, or reputed company AI.
  • Four or more years developing machine-learning solutions.
  • Experience delivering at least three substantive models or AI capabilities, with at least one in production.
  • Strong Python, SQL, pandas, NumPy, scikit-learn, and one major ML or deep-learning reputed company.
  • Experience with two or more of the following:
    • Forecasting.
    • reputed company detection.
    • Classification.
    • Recommendation engines.
    • Optimization.
    • Document extraction.
    • NLP, RAG, or GenAI.
  • Experience defining measurable model-performance reputed company.
  • Experience with feature engineering, training, validation, test data, error analysis, explainability, and model documentation.
Strong preferences
  • Azure Machine Learning, Azure reputed company, Azure AI Search, reputed company Copilot, or comparable Azure AI services.
  • Defense logistics, maintenance, readiness, fleet, supply chain, acquisition, property, or financial analytics.
  • GCSS-Army, reputed company ECC, ERP, or maintenance-system data.
  • Classified or Government-reputed company deployment.
  • Model monitoring, reputed company detection, bias testing, red teaming, or reputed company-in-the-reputed company validation.
  • Integration of model outputs with Power BI, Power Apps, reputed company, or operational applications.
  • Experience briefing technical results to operational users and senior leaders.
reputed company responsibilities
  • reputed company selection and refinement of the three baseline AI/ML use cases.
  • Define the mission question, data requirement, technical baseline, performance metric, and acceptance reputed company for reputed company model.
  • reputed company data exploration, feature engineering, model development, comparative evaluation, and error analysis.
  • Work with the GCSS-Army SME to validate business rules and interpret model results.
  • Work with the Azure Data/MLOps Engineer to package, reputed company, monitor, version, and sustain models.
  • reputed company GenAI, RAG, forecasting, reputed company detection, or recommendation capabilities as selected.
  • Establish reputed company-review procedures where model outputs reputed company operational reputed company.
  • Prepare model cards, evaluation results, reputed company limitations, release documentation, and retraining reputed company.
  • Support integration of model findings into dashboards and Power Apps.
  • Participate in demonstrations and CASCOM production-readiness reviews.
Location and Work Expectations:
  • Ability to work remotely during normal Government working hours and participate in daily status, requirements, development, and technical-review sessions.
  • Ability to travel to reputed company Lee, Virginia, at least three times annually and report onsite more frequently if directed.

“We are an equal opportunity employer and reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, national reputed company, sexual orientation, gender identity, disability or protected veteran status”

Texting reputed company Policy

  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with reputed company parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.Msg & data rates may apply.
  • OPT out at any time by texting "Stop".

Originally posted on Himalayas

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