{"schemaVersion":"jobsearcher.job.v1","id":"b936d51cbe808be33aa1e2da","url":"https://jobsearcher.com/jobs/b936d51cbe808be33aa1e2da","canonicalUrl":"https://jobsearcher.com/jobs/b936d51cbe808be33aa1e2da","title":"Machine Learning Engineer - Python","description":"CACI's SAFFIRE team is seeking a highly skilled Data Scientist with an emphasis on Machine Learning Engineer experience and expertise in Python to join our cutting-edge Geospatial Intelligence analysis software development and operations. The SAFFIRE team is dedicated to building and maintaining a powerful platform that transforms diverse data into actionable intelligence, addressing real-world challenges. In collaboration with operational users, you will play a crucial role in designing, developing, and maintaining deep learning models in a production MLOps environment.What You'll Get to Do:As a Machine Learning Engineer supporting the SAFFIRE program, you will be working closely with software developers and teams to maintain and sustain deep learning models used in a production MLOps environment. Your role will be critical in maintaining and improving neural network model performances through ever-changing and ever-growing datasets and will require creative thinking and efficient delivery of solutions. You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government's most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.At the Interview, we'd like to tell you about:The SAFFIRE team and our missionThe SAFFIRE platform, technologies used, and our software development approachContract details, program structure, and our customersOur comprehensive benefits packageYou'll Bring These Qualifications:A current Top Secret or Top Secret SCI clearance and polygraph preferred5+ years of experience in data engineering and cloud data processing services (AWS Cloud)Knowledge of neural networks and deep learning modelsExcellent programming skills in PythonStrong analytical and problem-solving skillsEffective communication skillsThese Qualifications Would Be Nice to Have:AWS Certification (Developer, DevOps, Architect, etc.)Security+ CertificationExperience with cloud-based data platforms/databases like ElasticSearchExperience with Big Data ingest and processing technologies (ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark)Experience with MLOps environments and technologiesExperience with development in microservice-based architecturesKnowledge of Neural nets and deep learning modelsExperience with Computer Vision problem setsKnowledge of and experience with Geospatial data and technologiesWhat We Can Offer You:Flexible work arrangementsCompetitive benefits and learning and development opportunitiesMission-oriented work aligning with the nation's highest prioritiesCACI's unique, character-based culture supporting over 60 years of successCompany Overview:CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more hereSince this position can be worked in more than one location, the range shown is the national average for the position.The proposed salary range for this position is:$89,500-$188,000 #J-18808-Ljbffr","company":"CACI International","rawCompany":"caci international","city":"Sterling","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T23:54:53.358Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Python","description":"CACI's SAFFIRE team is seeking a highly skilled Data Scientist with an emphasis on Machine Learning Engineer experience and expertise in Python to join our cutting-edge Geospatial Intelligence analysis software development and operations. The SAFFIRE team is dedicated to building and maintaining a powerful platform that transforms diverse data into actionable intelligence, addressing real-world challenges. In collaboration with operational users, you will play a crucial role in designing, developing, and maintaining deep learning models in a production MLOps environment.What You'll Get to Do:As a Machine Learning Engineer supporting the SAFFIRE program, you will be working closely with software developers and teams to maintain and sustain deep learning models used in a production MLOps environment. Your role will be critical in maintaining and improving neural network model performances through ever-changing and ever-growing datasets and will require creative thinking and efficient delivery of solutions. You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government's most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.At the Interview, we'd like to tell you about:The SAFFIRE team and our missionThe SAFFIRE platform, technologies used, and our software development approachContract details, program structure, and our customersOur comprehensive benefits packageYou'll Bring These Qualifications:A current Top Secret or Top Secret SCI clearance and polygraph preferred5+ years of experience in data engineering and cloud data processing services (AWS Cloud)Knowledge of neural networks and deep learning modelsExcellent programming skills in PythonStrong analytical and problem-solving skillsEffective communication skillsThese Qualifications Would Be Nice to Have:AWS Certification (Developer, DevOps, Architect, etc.)Security+ CertificationExperience with cloud-based data platforms/databases like ElasticSearchExperience with Big Data ingest and processing technologies (ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark)Experience with MLOps environments and technologiesExperience with development in microservice-based architecturesKnowledge of Neural nets and deep learning modelsExperience with Computer Vision problem setsKnowledge of and experience with Geospatial data and technologiesWhat We Can Offer You:Flexible work arrangementsCompetitive benefits and learning and development opportunitiesMission-oriented work aligning with the nation's highest prioritiesCACI's unique, character-based culture supporting over 60 years of successCompany Overview:CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more hereSince this position can be worked in more than one location, the range shown is the national average for the position.The proposed salary range for this position is:$89,500-$188,000 #J-18808-Ljbffr","datePosted":"2026-08-03T23:54:53.358Z","dateModified":"2026-08-03T23:54:53.358Z","hiringOrganization":{"@type":"Organization","name":"CACI International","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sterling","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b936d51cbe808be33aa1e2da"},"url":"https://jobsearcher.com/jobs/b936d51cbe808be33aa1e2da"}}