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Machine Learning Software Engineer
2 months ago
We are seeking a highly skilled Machine Learning Software Engineer to join our Strategic Innovation team at Booz Allen Hamilton. As a key member of our team, you will play a critical role in developing and deploying machine learning models that drive business value and solve real-world problems.
Key Responsibilities- Conduct statistical analyses on business processes using machine learning techniques to deliver customer-focused solutions.
- Train, test, deploy, and maintain models that learn from data to drive business value.
- Contribute to the direction of mission-critical solutions by applying best-fit machine learning algorithms and technologies.
- Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions.
- Develop infrastructure-as-code, including automated server or network configurations, large-scale software deployments, or monitoring and testing, including CI/CD.
- 2+ years of experience with container tools, including Docker, Kubernetes, or Rancher.
- 2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure.
- Experience with Authority to Operate (ATO) processes for DoD operations.
- Experience using or migrating CI/CD pipeline solutions or tools, including GitLab.
- Experience with system integration using a variety of protocols, including JSON, REST, and XML.
- Knowledge of cloud and virtualization-based technologies, including Docker, Azure, or Amazon Web Services (AWS).
- Knowledge of Linux or UNIX administration and automation, and foundational system administration principles.
- Knowledge of classified environment processes and protocols.
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. At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.
Work Model and EEO Commitment- Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- 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.
