Intelligent Systems Software Engineer
2 weeks ago
Position Overview:
As a vital member of our team, you will leverage your programming expertise to harness the power of machine learning in analyzing extensive datasets. Your proficiency in executing statistical evaluations on operational processes using ML methodologies will be crucial in delivering tailored solutions for our clients.
Your Role:
In this capacity, you will play a significant role in shaping mission-critical initiatives by employing optimal ML algorithms and technologies. You will collaborate with a diverse group of professionals, including data engineers, data scientists, solutions architects, and product managers, to create innovative solutions that address real-world challenges through advanced ML techniques.
Key Responsibilities:
- Develop, test, deploy, and maintain machine learning models that learn from data.
- Guide clients through the complexities of ML algorithms, tools, and frameworks.
- Contribute to the strategic direction of ML initiatives for government projects.
Qualifications:
- Minimum of 2 years of experience in software engineering, data science, MLOps, or related fields.
- Familiarity with natural language processing, deep learning, reinforcement learning, or computer vision.
- Proficient in programming languages such as Java, Python, C++, or Go.
- Experience with scripting languages including Bash, PowerShell, Python, Groovy, or Ruby.
- Understanding of container networking and monitoring solutions.
- Ability to implement infrastructure-as-code practices.
- Possession of a Secret clearance.
- Bachelor's degree in a relevant field.
Preferred Qualifications:
- Experience with containerization tools like Docker, Kubernetes, or Rancher.
- Experience deploying Kubernetes in cloud environments such as GCP, AWS, or Azure.
- Familiarity with Authority to Operate (ATO) processes.
- Experience with CI/CD pipeline tools, including GitLab.
- Knowledge of system integration protocols like JSON, REST, and XML.
- Understanding of cloud technologies and virtualization.
- Experience with Linux or UNIX system administration.
- Kubernetes Certification.
Security Clearance:
Selected candidates will undergo a security investigation and must meet eligibility requirements for access to classified information; a Secret clearance is mandatory.
Career Development:
We prioritize your professional growth through various development opportunities, including upskilling programs, mentorship, and networking initiatives.
Inclusive Environment:
At Booz Allen, we celebrate diverse perspectives and foster a culture of respect and equity, allowing you to bring your authentic self to work.
Comprehensive Benefits:
Our benefits package includes wellness programs, paid leave, a generous 401(k) match, and flexible work arrangements to support your work-life balance.
Compensation:
We offer competitive compensation based on various factors, including your experience and skills. Our total compensation package includes health, life, and retirement benefits.
Work Model:
We value flexibility and collaboration, whether in-person or remote, to enhance our people-first culture.
Equal Opportunity Employer:
Booz Allen is an equal employment opportunity employer that values diversity and inclusion in the workplace.
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