About the position
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support global challenges. As a machine learning engineer at Booz Allen, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, and product owners to deliver world-class solutions to enterprise-scale AI/ML. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.
Requirements
- 3+ years of experience in programming, including Python, Java, or C/C++
- 3+ years of experience with software engineering
- 2+ years of experience in containerization and container orchestration platforms, including Kubernetes or Docker
- 2+ years of experience with DevOps and automation frameworks, including Ansible, Jenkins, Terraform, Tekton, GitLab CI/CD, or GitHub Actions to streamline the software delivery process in event-sourced applications
- Experience building APIs to share data and calling APIs within applications or software
- Experience building data science and AI/machine learning solutions that support operational business and mission use cases
- Experience with event driven architectures
- Ability to turn requirements into implementation and evaluating architectural tradeoffs
- Secret clearance
- Bachelor's degree
Nice-to-haves
- Experience deploying and managing data brokering solutions including Kafka, Red Panda, and Confluent
- Experience with client engagements, client-facing project work, and business development
- Knowledge of Databricks, PyTorch, Tensorflow, LLM frameworks, such as LangChain or Llamaindex
- Ability to adapt in a rapidly changing environment
- Excellent verbal and written communication skills
- Excellent interpersonal, analytical, problem-solving, and organizational skills
- Master's degree in Computer Science or Data Science
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
