What are the responsibilities and job description for the AI/ML Engineer position at Jobs via Dice?
Job Number: R0230190
AI/ML Engineer
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on workflow 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 research and development for a key national defense client. As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer on our intelligence team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of ML engineers across the company and collaborate with software developers and engineers as well as end users to deliver world-class solutions to develop and drive solutions to remote sensing issues for operations clients. You will be testing and driving AI/ML concepts and solutions for a data-intensive system. As data feeds continue to be brought online, the relatively fixed number of operators needs your help driving solutions. Your advanced skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
What You'll Work On:
You Have:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
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. 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 basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold 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 range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 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.
All qualified 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.
AI/ML Engineer
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on workflow 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 research and development for a key national defense client. As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer on our intelligence team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of ML engineers across the company and collaborate with software developers and engineers as well as end users to deliver world-class solutions to develop and drive solutions to remote sensing issues for operations clients. You will be testing and driving AI/ML concepts and solutions for a data-intensive system. As data feeds continue to be brought online, the relatively fixed number of operators needs your help driving solutions. Your advanced skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
What You'll Work On:
- Design, build, and deploy NLP models for text classification, information extraction, and automated sorting.
- Develop and maintain machine learning pipelines from experimentation through production deployment.
- Create data visualizations, plots, and dashboards to communicate model outputs and analytical findings.
- Collaborate with stakeholders to translate mission requirements into technical solutions and deliver client-focused products.
- Implement MLOps best practices, including experiment tracking, model versioning, and performance monitoring.
- Evaluate model performance, conduct A/B testing, and optimize algorithms for accuracy and scalability.
- Document technical approaches and communicate results to both technical and mission-focused audiences.
You Have:
- 3 years of experience in delivering AI and ML-based solutions for object identification and classification
- 3 years of experience with Python coding and libraries, including scikit-learn, spaCy, Hugging Face, TensorFlow, and PyTorch
- Experience with Natural Language Processing for text classification, sorting algorithms, and NLP Model Development
- Experience with remote sensing image processing, data exploitation, and algorithm development
- Experience with software configuration management using Git
- Ability to execute machine learning models in a Linux environment
- TS/SCI clearance
- Bachelor's degree
- Experience with container technology, including Docker or Podman
- Experience with Databricks for ML workflows, including experiment tracking, model deployment, and Spark integration
- Knowledge of passive EO or IR systems
- Ability to work with limited guidance and clear direction
- Possession of excellent verbal and written communication skills, including with peers and clients
- Bachelor's degree in Data Science or an Engineering field, such as AI and ML Engineering, preferred; Master's degree in Data Science or an Engineering field, such as AI and ML Engineering a plus
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
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. 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 basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold 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 range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 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.
All qualified 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.
Salary : $77,600 - $176,000