Current jobs related to Machine Learning Operations Engineer - Washington - Booz Allen Hamilton


  • Washington, United States hackajob Full time

    hackajob has partnered with a company provide the most accurate internet intelligence data available to uncover risks and take down threats at scale.Role: Machine Learning EngineerLocation: Washington D.C, USA - Hybrid (2-3 days/week)Salary: $134k- $181k + bonus eligibility and equityFULL-TIMEWhat you'll do:Work with the Data team and Data Science to deliver...


  • Washington, Washington, D.C., United States TechnoGen Full time

    Job Title: Machine Learning EngineerJob Summary:TechnoGen is seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for building and enhancing machine learning models through all phases of development, including design, training, validation, and implementation. You will also analyze large-scale...


  • Washington, Washington, D.C., United States The Washington Post Full time

    Job Title: Machine Learning Engineering ManagerThe Washington Post is seeking a highly skilled Machine Learning Engineering Manager to lead a team of applied machine learning scientists in building the next generation of journalism-driven personalization systems.This role offers a unique opportunity to blend technical expertise with leadership, driving...


  • Washington, Washington, D.C., United States Washington Post Full time

    Job Title: Machine Learning Engineering ManagerThe Washington Post is seeking a highly skilled Machine Learning Engineering Manager to lead our team of applied machine learning scientists in building the next generation of journalism-driven personalization systems. As a key member of our team, you will be responsible for leading cross-functional agile teams,...


  • Washington, United States Vertex Innovations Full time

    Job DescriptionJob DescriptionWe are seeking a highly motivated and skilled Data and Machine Learning Engineer to join our team. You will be responsible for the entire lifecycle of machine learning projects, from data acquisition and cleaning to model deployment and monitoring. You will work closely with data scientists, software engineers, and product...


  • Washington, Washington, D.C., United States CoStar Realty Information, Inc. Full time

    Job SummaryWe are seeking a highly skilled Senior Machine Learning Engineer to join our team at CoStar Realty Information, Inc. As a key member of our machine learning group, you will be responsible for designing, building, and deploying machine learning models that handle large amounts of data. You will collaborate with other engineers, product owners, and...


  • Washington, Washington, D.C., United States TechnoGen Full time

    Job SummaryTechnoGen is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science team, you will be responsible for building and enhancing machine learning models through all phases of development, including design, training, validation, and implementation. You will work closely with a cross-functional team of...


  • Washington, Washington, D.C., United States Xometry Full time

    About XometryXometry is a leading digital marketplace that connects manufacturers with buyers at Fortune 1000 companies. Our platform enables manufacturers to grow their business while providing buyers with access to global manufacturing capacity.Job DescriptionXometry is seeking a Senior Machine Learning Engineer to join our team. As a key member of our...


  • Washington, Washington, D.C., United States TechnoGen Full time

    Job Title: Machine Learning Engineer - TechnoGenJob Summary: We are seeking a highly skilled Machine Learning Engineer to join our team at TechnoGen. The ideal candidate will have a strong background in machine learning, statistical modeling, and algorithms, as well as experience with cloud computing infrastructure and data visualization...


  • Washington, DC, USA, United States Xometry Full time

    Job Title: Senior Machine Learning EngineerXometry is a leading digital marketplace for manufacturers, connecting buyers with global manufacturing capacity. We're seeking a Senior Machine Learning Engineer to drive our AI capabilities forward.Key Responsibilities:Explore new machine learning opportunities, research, and develop proof-of-concepts to integrate...


  • Washington, United States RAND Full time

    Job OverviewRAND is seeking a highly skilled Machine Learning Engineer to join our team of research software engineers. As a key member of our multidisciplinary team, you will work closely with researchers and analysts from various domains to develop and maintain custom applications and data pipelines featuring generative AI, natural language processing,...


  • Washington, United States Capital One Full time

    Center 3 (19075), United States of America, McLean, VirginiaLead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You?ll participate in the detailed technical design, development, and implementation of machine learning...


  • Washington, United States Capital One Full time

    Job SummaryAs a Capital One Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Your responsibilities will include participating in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...


  • Washington, DC, United States Vertex Innovations Full time

    Job Title: Data and Machine Learning EngineerWe are seeking a highly skilled Data and Machine Learning Engineer to join our team at Vertex Innovations. As a key member of our team, you will be responsible for the entire lifecycle of machine learning projects, from data acquisition and cleaning to model deployment and monitoring.Key Responsibilities:Train,...


  • Washington, Washington, D.C., United States Huntington Ingalls Industries Full time

    Job Title: Machine Learning Engineer - AI and Digital ModernizationWe are seeking a highly skilled Machine Learning Engineer to join our team in Annapolis Junction, MD. This remote position will support the development and management of end-to-end generative AI solutions.The ideal candidate will have experience with machine learning and deep learning...


  • Washington, United States Booz Allen Hamilton Full time

    Job Title: Machine Learning Operations EngineerAbout the Role:We are seeking a highly skilled Machine Learning Operations Engineer to join our team at Booz Allen Hamilton. As a key member of our team, you will be responsible for streamlining our software development life cycle, incorporating open-source tools, automation, and Cloud resources to cut down on...


  • Washington, United States Motion Recruitment Partners, LLC Full time

    Mid-sized software company is seeking a Machine Learning Engineer / AI Engineer to contribute to building out their models. This position would sit within their infrastructure engineering team and the main contributions would be within their data and software development. Must Have 7+ years of experience within a Data Science, Machine Learning Engineering,...


  • Washington, United States Automation Technologies LLC Full time

    Immediate Opportunity for a Machine Learning ExpertAbout the RoleWe are seeking a highly skilled Machine Learning Engineer Director to lead our team of data scientists and engineers in developing a revolutionary Software as a Service for the commercial space. As a key member of our executive board, you will drive innovation in Artificial Intelligence and...


  • Washington, Washington, D.C., United States Capital One Full time

    About the RoleThe Capital One Machine Learning Engineer (MLE) is a critical member of our Agile team dedicated to productionizing machine learning applications and systems at scale. As a key contributor, you will participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging...


  • Washington, Washington, D.C., United States Huntington Ingalls Industries Full time

    Job Summary:Huntington Ingalls Industries is seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying end-to-end generative AI solutions. You will work closely with our team to create and manage AI and digital modernization for both internal use and...

Machine Learning Operations Engineer

2 months ago


Washington, United States Booz Allen Hamilton Full time
Machine Learning Operations Engineer

The Opportunity:

Are you looking for an opportunity to not just develop software, but to architect, develop, and implement a system that will have a positive impact? What if you could find a position that is tailor-made for your mix of DevOps, machine learning, and engineering skills? Are you excited about the opportunity to work on some of the most impactful and visible projects across the Department of Defense? Apply to work for our team Efficient software development and machine learning teams make the most of their time by limiting the activities that take developers away from writing their code. That’s why we need you, a Machine Learning Operations (MLOps) engineer, to help us shorten the time it takes to get critical tools developed and into the hands of developers utilizing our products.

As an MLOps engineer on our team, you will help deploy, maintain, and monitor our AI and ML solutions across a variety of client spaces. You will be responsible for generating and managing reusable CI/CD pipelines that allow our infrastructure to be rapidly prototyped and deployed. You'll utilize cloud-native and open-source frameworks to allow our software to be automatically and continuously tested, built, and deployed. This opportunity will allow you to become an integral part of an agile team by cutting down time spent on manual testing, debugging, and deployment. In doing so, our team will become more responsive and efficient to ever-changing client needs, while also becoming empowered to ship robust AI and ML products. Expand your experience with MLOps on an incredibly talented and collaborative team.

Join us. The world can’t wait.

You Have:

  • 3+ years of experience with machine learning, DevOps, data science, or software engineering

  • Experience building and deploying containerized ML solutions with Docker and Kubernetes

  • Experience with cloud platforms, including AWS, Google Cloud, or Azure

  • Experience with ML programming languages, including Python, Scala, or Java

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience architecting and deploying generative AI solutions, such as large language models (LLMs)

  • Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub Actions

  • Experience with model serving solutions, such as AWS SageMaker, KServe, or Seldon Core

  • Experience with enterprise data platforms

  • Experience with infrastructure as code technologies, including Terraform, Pulumi, or Ansible

  • TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.