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Machine Learning Operations Engineer
2 months ago
We're seeking a highly skilled Machine Learning Operations Engineer to join our team at Booz Allen Hamilton. As an MLOps engineer, you will play a critical role in deploying, maintaining, and monitoring our AI and ML solutions across various client spaces.
Key Responsibilities- Design and implement reusable CI/CD pipelines to rapidly prototype and deploy our infrastructure.
- Utilize cloud-native and open-source frameworks to automate and continuously test, build, and deploy our software.
- Collaborate with our agile team to cut down time spent on manual testing, debugging, and deployment.
- Expand your experience with MLOps on an incredibly talented and collaborative team.
- 10+ 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.
- TS/SCI clearance.
- Bachelor's degree.
- 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.
- CompTIA Security+ certification.
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.
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 $125,500.00 to $285,000.00 annualized USD.
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.