MLOps Engineer, Senior

MLOps Engineer, Senior The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That's why we need you, an experienced machine learning engineer, to help us design and architect an MLOps platform in the Cloud that shortens the time it takes to get new capabilities from development to production, to support mission critical operations. As an MLOps Engineer on our team, you'll use your development experience to streamline our development life cycle from development to production. You'll be working with a collaborative Agile development team to build and maintain Cloud software and infrastructure that supports machine learning across the enterprise. You'll implement continuous integration and deployment to development, testing, and production environments. This is an opportunity to broaden your skill set into areas like Agile development, Cloud based development, containerization, and serverless while developing software that will improve national security. As a machine learning engineer, you'll identify new opportunities to build solutions and architecture to help your customers meet their toughest challenges. Join our team as we build tools to transform the future of the IC. Join us. The world can't wait. You Have: 4 years of experience with Object Oriented Programming (OOP), including in Python 4 years of experience with developing containerized applications, including API design and authentication 3 years of experience with developing software using cloud technologies, including AWS 3 years of experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem Top Secret clearance HS diploma or GED Ability to obtain a Security CE, SSCP, CCNA Security, or GSEC certification within 6 months of hire date Nice If You Have: Experience developing prompts, tools, and agents with LLMs Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM Experience with Kubernetes Experience with IaC tools like Helm and Terraform Experience with design and implementation, including building, containerizing, and deploying end to end automated data and ML pipelines, within a Cloud environment Experience with version control tools, including Git Bachelor's degree preferred; Master's degree a plus Security CE, SSCP, CCNA Security, or GSEC Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top 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 $99,000.00 to $225,000.00 (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. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. 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. Commitment to Non Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Note: Microsoft Internet Explorer is not fully compatible with Workday and users may experience systems issues with this browser. We recommend that you use one of the following browsers to avoid problems: Google Chrome, Mozilla Firefox, Microsoft Edge, Apple Safari, Opera Browser or Blackberry Browser. If you continue to experience issues, it is sometimes necessary to reset your browser by clearing your cache. About Booz Allen Hamilton Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeedâ accelerating the nation to realize our purpose: Empower People to Change the World®. Commitment to Non Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Know Your Rights Poster Accommodations If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling 1 877 927 8278 or sending an email to [email protected]. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. Data Privacy For more information on how Booz Allen uses your information, please see our Careers Privacy Policy. Apply tot his job Apply To this Job