Senior Machine Learning Engineer

{
  "content_hash": "12473e2da5703aed64289c3a33871fd4b57e6fd839331497e0a79c0f4a697a21",
  "source_hash": "d73cc5f295daf7beaa948fd45dd4aac77d7120e936898076cdaba7969dacb1bf",
  "last_changed_at": "2026-05-30T06:10:40.702Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Phoenix, AZ",
    "city": "Goodyear",
    "region": "AZ",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T13:41:10.317Z",
  "launch_scope": {
    "reason": "paylocity_production_catalog",
    "included": true,
    "location": {
      "raw": "Phoenix, AZ",
      "city": "Goodyear",
      "region": "AZ",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "detail": {
    "url": "https://recruiting.paylocity.com/recruiting/jobs/Details/4081139/Prime-Solutions-Group-Inc/Senior-Machine-Learning-Engineer",
    "job_type": "Full-time",
    "pageData": {
      "jobTitle": "Senior Machine Learning Engineer",
      "moduleName": "Prime Solutions Group, Inc.",
      "showSocialWidget": true
    },
    "apply_path": "/Recruiting/jobs/Apply/4081139",
    "html_title": "Prime Solutions Group, Inc. - Senior Machine Learning Engineer",
    "description_html": "<p>Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation’s leading defense companies to deliver mission-critical technology.</p><p><br></p><p>Our work spans the full system lifecycle—from R&amp;D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you’ll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.</p><h3><br></h3><h3><br></h3><h3><strong>Position Overview</strong></h3><p><strong>Turn machine learning into real-world mission capability.</strong></p><p>PSG is seeking a <strong>Machine Learning Engineer</strong> to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.</p><p><br></p><p>You’ll work at the intersection of <strong>machine learning, software engineering, and DevSecOps</strong>, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.</p><h3><br></h3><h3><strong>What You’ll Do</strong></h3><ul><li>Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment&nbsp;</li><li>Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow&nbsp;</li><li>Integrate models into production systems (APIs, batch pipelines, real-time services)&nbsp;</li><li>Implement model validation, evaluation metrics, and performance monitoring&nbsp;</li><li>Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements&nbsp;</li><li>Collaborate with data engineers and domain experts to prepare and validate datasets&nbsp;</li><li>Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments&nbsp;</li><li>Troubleshoot model and pipeline issues; perform root cause analysis and optimization&nbsp;</li><li>Contribute to technical documentation, test plans, and operational runbooks&nbsp;</li><li>Participate in design reviews, architecture discussions, and Agile development processes&nbsp;</li><li>Mentor junior engineers and promote engineering best practices</li></ul>",
    "jsonld_jobposting": {
      "@type": "JobPosting",
      "title": "Senior Machine Learning Engineer",
      "@context": "https://schema.org",
      "baseSalary": {
        "@type": "MonetaryAmount",
        "value": {
          "@type": "QuantitativeValue",
          "maxValue": 180000,
          "minValue": 110000,
          "unitText": "YEAR"
        },
        "currency": "USD"
      },
      "datePosted": "2026-04-15T18:38:40-05:00",
      "description": "<p>Description</p><p>Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation’s leading defense companies to deliver mission-critical technology.</p><p><br/></p><p>Our work spans the full system lifecycle—from R&D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you’ll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.</p><h3><br/></h3><h3><br/></h3><h3><strong>Position Overview</strong></h3><p><strong>Turn machine learning into real-world mission capability.</strong></p><p>PSG is seeking a <strong>Machine Learning Engineer</strong> to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.</p><p><br/></p><p>You’ll work at the intersection of <strong>machine learning, software engineering, and DevSecOps</strong>, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.</p><h3><br/></h3><h3><strong>What You’ll Do</strong></h3><ul><li>Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment </li><li>Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow </li><li>Integrate models into production systems (APIs, batch pipelines, real-time services) </li><li>Implement model validation, evaluation metrics, and performance monitoring </li><li>Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements </li><li>Collaborate with data engineers and domain experts to prepare and validate datasets </li><li>Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments </li><li>Troubleshoot model and pipeline issues; perform root cause analysis and optimization </li><li>Contribute to technical documentation, test plans, and operational runbooks </li><li>Participate in design reviews, architecture discussions, and Agile development processes </li><li>Mentor junior engineers and promote engineering best practices</li></ul><p>Requirements</p><ul><li>U.S. Citizenship </li><li>Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) </li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or related field </li><li>4+ years of experience in:     <ul>      <li>Machine Learning Engineering </li>      <li>Applied AI/ML development </li>      <li>Production ML systems </li>    </ul></li><li>Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) </li><li>Experience developing, training, and deploying ML models in real-world applications </li><li>Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring) </li><li>Experience building maintainable, production-quality software </li><li>Familiarity with Docker and cloud environments (AWS, Azure, or GCP) </li><li>Experience working in Agile and CI/CD environments </li><li>Strong problem-solving, communication, and collaboration skills </li></ul><h3><br/></h3><h3><strong>Preferred Qualifications</strong></h3><ul><li>Master’s degree in a related field </li><li>Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) </li><li>Experience transitioning models from research to production environments </li><li>Familiarity with experiment tracking, model versioning, and reproducibility practices </li><li>Experience with GPU-based ML workflows and cloud ML platforms </li><li>Background in defense, intelligence, or other regulated environments </li></ul><h3><br/></h3><h3><strong>Why Join PSG?</strong></h3><p>At PSG, you’re not just taking a job—you’re building technology that matters.</p><ul><li>Competitive compensation & benefits </li><li>9/80 flexible work schedule </li><li>Professional development & tuition assistance </li><li>Small, agile team with high ownership and visibility </li><li>Work on mission-critical systems supporting national security </li><li>Opportunities to grow across AI/ML, software engineering, and platform development </li></ul><p><strong>Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.</strong></p><p><br/></p><p> </p><p><strong>Salary Description</strong></p><p>Salary range starts at <strong>$110,000</strong> with the potential for higher compensation based on experience, skills, and mission needs.</p>",
      "jobLocation": {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "85338",
          "addressRegion": "AZ",
          "streetAddress": "1300 S. Litchfield Rd.",
          "addressCountry": "US",
          "addressLocality": "Goodyear"
        }
      },
      "hiringOrganization": {
        "logo": "https://recruiting.paylocity.com/recruiting/jobs/GetLogoFile?moduleId=17707",
        "name": "Prime Solutions Group, Inc.",
        "@type": "Organization"
      }
    },
    "requirements_html": "<ul><li>U.S. Citizenship&nbsp;</li><li>Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)&nbsp;</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or related field&nbsp;</li><li>4+ years of experience in:&nbsp;    <ul>      <li>Machine Learning Engineering&nbsp;</li>      <li>Applied AI/ML development&nbsp;</li>      <li>Production ML systems&nbsp;</li>    </ul></li><li>Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)&nbsp;</li><li>Experience developing, training, and deploying ML models in real-world applications&nbsp;</li><li>Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)&nbsp;</li><li>Experience building maintainable, production-quality software&nbsp;</li><li>Familiarity with Docker and cloud environments (AWS, Azure, or GCP)&nbsp;</li><li>Experience working in Agile and CI/CD environments&nbsp;</li><li>Strong problem-solving, communication, and collaboration skills&nbsp;</li></ul><h3><br></h3><h3><strong>Preferred Qualifications</strong></h3><ul><li>Master’s degree in a related field&nbsp;</li><li>Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)&nbsp;</li><li>Experience transitioning models from research to production environments&nbsp;</li><li>Familiarity with experiment tracking, model versioning, and reproducibility practices&nbsp;</li><li>Experience with GPU-based ML workflows and cloud ML platforms&nbsp;</li><li>Background in defense, intelligence, or other regulated environments&nbsp;</li></ul><h3><br></h3><h3><strong>Why Join PSG?</strong></h3><p>At PSG, you’re not just taking a job—you’re building technology that matters.</p><ul><li>Competitive compensation &amp; benefits&nbsp;</li><li>9/80 flexible work schedule&nbsp;</li><li>Professional development &amp; tuition assistance&nbsp;</li><li>Small, agile team with high ownership and visibility&nbsp;</li><li>Work on mission-critical systems supporting national security&nbsp;</li><li>Opportunities to grow across AI/ML, software engineering, and platform development&nbsp;</li></ul><p><strong>Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.</strong></p><p><br></p><p>&nbsp;</p><p><strong>Salary Description</strong></p><p>Salary range starts at <strong>$110,000</strong> with the potential for higher compensation based on experience, skills, and mission needs.</p>",
    "requirements_text": "U.S. Citizenship\n Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)\n Bachelor’s degree in Computer Science, Engineering, Data Science, or related field\n 4+ years of experience in: Machine Learning Engineering\n Applied AI/ML development\n Production ML systems\n Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)\n Experience developing, training, and deploying ML models in real-world applications\n Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)\n Experience building maintainable, production-quality software\n Familiarity with Docker and cloud environments (AWS, Azure, or GCP)\n Experience working in Agile and CI/CD environments\n Strong problem-solving, communication, and collaboration skills\n Preferred Qualifications\n Master’s degree in a related field\n Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)\n Experience transitioning models from research to production environments\n Familiarity with experiment tracking, model versioning, and reproducibility practices\n Experience with GPU-based ML workflows and cloud ML platforms\n Background in defense, intelligence, or other regulated environments\n Why Join PSG?\n At PSG, you’re not just taking a job—you’re building technology that matters.\n Competitive compensation & benefits\n 9/80 flexible work schedule\n Professional development & tuition assistance\n Small, agile team with high ownership and visibility\n Work on mission-critical systems supporting national security\n Opportunities to grow across AI/ML, software engineering, and platform development\n Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.\n Salary Description\n Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs."
  },
  "list_job": {
    "JobId": 4081139,
    "IsRemote": false,
    "JobTitle": "Senior Machine Learning Engineer",
    "IsInternal": false,
    "Description": "",
    "JobLocation": {
      "Zip": "85338",
      "City": "Goodyear",
      "Name": null,
      "Metro": "Phoenix",
      "State": "AZ",
      "County": "Maricopa",
      "Address": "1300 S. Litchfield Rd.",
      "Country": "USA",
      "Address2": "BLDG 125",
      "ModuleId": 17707,
      "LocationId": 4006176,
      "SmartyAddressId": "e67df50e-d9ea-4859-b700-9886f8b94f32"
    },
    "LocationName": "Phoenix, AZ",
    "PublishedDate": "2026-04-15T12:04:51-05:00",
    "HiringDepartment": "Engineering",
    "IndeedRemoteType": 2,
    "ShouldDisplayLocation": true
  },
  "detail_errors": []
}