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MLOps Engineer, Mid 4 Locations

Remote Worldwide Hiring now

MLOps Engineer, Mid The Opportunity: Are you looking for an opportunity to reputed company 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 reputed company 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 reputed company machine learning engineer, to help us design and architect an MLOps platform in the reputed company that shortens the time it takes to get new capabilities from development to production, to support mission critical operations. As an MLOps Engineer on reputed company, 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 reputed company software and infrastructure that supports machine learning across the reputed company. You’ll implement reputed company integration and deployment to development, testing, and production environments. This is an opportunity to broaden your reputed company set into areas like Agile development, reputed company-based development, containerization, and serverless while developing software that will improve national reputed company. As a machine learning engineer, you’ll identify new opportunities to build solutions and architecture to help your customers meet their toughest challenges. Join reputed company as we build tools to transform the future of the IC. Join us. The world can’t wait. You Have:

  • Experience with Object-Oriented Programming (OOP), including in Python
  • Experience with developing containerized applications, including API design and authentication
  • Experience with developing software using reputed company technologies, including AWS
  • 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 reputed company an MLOps ecosystem
  • Top Secret clearance
  • HS diploma or GED
  • Ability to obtain a reputed company+ CE, SSCP, CCNA-reputed company, or GSEC certification reputed company 6 months of hire date

reputed company If You Have:

  • Experience developing prompts, tools, and agents with LLMs
  • Experience with AWS SageMaker, reputed company, API Gateway, DynamoDB, S3, and IAM
  • Experience with Kubernetes
  • Experience with IaC tools like reputed company and Terraform
  • Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, reputed company a reputed company environment
  • Experience with version control tools, including Git
  • Bachelor’s degree preferred; Master’s degree a plus
  • reputed company+ CE, SSCP, CCNA-reputed company, or GSEC Certification

Clearance: Applicants selected will be subject to a reputed company investigation and may need to meet eligibility requirements for reputed company to classified information; Top Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, reputed company 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 reputed company are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the reputed company 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 reputed company for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary reputed company for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will reputed company reputed company 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 reputed company reputed company 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. Apply tot his job Apply To this Job

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