Azure AI/ML Architect, Senior

Key Role:

Designs and implements effective AI and Machine Learning solutions utilizing Microsoft cloud capabilities and industry best practices to address clients' business problems and needs, while complying with company's strategies and business goals. Applies leading-edge principles, theories, and concepts, and contributes to the development of new principles and concepts. Works on unusually complex problems and provides highly innovative solutions.

Basic Qualifications:

• Experience in statistics, statistical modeling, and analytics working with large-scale data and building and deploying AI/machine learning models to establish or discover patterns that our clients can use to make predictions and categorize information
• Experience using Python
• Experience in data visualization, requirements gathering, and communicating results to technical and non-technical audiences
• Experience in data extraction, cleaning, wrangling, and manipulation, feature engineering, validating and optimizing models, and working with multiple data types and complex data systems
• Experience working with data science or ML libraries like pandas, scikit-learn, and PyTorch, analytics, AI, and ML approaches and models like time-series analysis, anomaly detection, and neural networks, and SQL and NoSQL languages and databases
• Secret clearance
• Bachelor's degree in Data Science or Computer Science

Additional Qualifications:

• Experience with Apache Spark, Azure Databricks, Azure Synapse Analytics, and Azure Kubernetes Service for big data scenarios
• Experience with Elastic ELK Stack, Git, GitLab, GitHub, or other version control systems, and Databricks
• Experience working with REST APIs
• Experience working in DevOps or AIOps
• Knowledge of computer networking and security
• Master's degree in Data Science or Computer Science
• Certifications in AI/ML, networking, and information security preferred, such as Microsoft AZ-500, AI-102, Elastic Certified Engineer, CompTIA Network+, Security+, or CySA+

Clearance:
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.

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.

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.

Commitment to Non-Discrimination

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.