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Consulting Technical Manager - Applications Developer (Clearance Required) jobs in United States
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Oracle · 8 hours ago

Consulting Technical Manager - Applications Developer (Clearance Required)

Oracle Government, Defense & Intelligence is seeking a talented Cloud Data Science Engineer with a strong background in artificial intelligence, data analytics, and cloud technologies. The successful candidate will be responsible for building, deploying, and optimizing machine learning and analytics solutions while collaborating with cross-functional teams.
Enterprise SoftwareSaaSBig DataSoftwareInformation TechnologyData GovernanceData Management
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Design, build, and deploy machine learning models and analytics solutions
Develop and automate data-driven pipelines, integrating end-to-end in-database machine learning solutions
Use advanced Python programming to implement data preprocessing, modeling, and evaluation in JupyterLab environments
Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI/ML solutions
Optimize and monitor model performance, ensuring security and compliance with Oracle best practices
Contribute to the adoption of AI/ML best practices and innovative analytics strategies within the organization
Create thorough documentation and provide knowledge transfer sessions related to OCI-based machine learning workflows

Qualification

Cloud data technologiesPythonAI/ML algorithmsJupyterLabSQLCloud infrastructureMLOps practicesDevOpsOracle Cloud certificationsProblem-solvingCommunication skills

Required

Experience working with cloud infrastructure service stacks, including Database, Compute, Object Storage, Identity and Access Management, and Key Management
Demonstrated expertise in using database technologies in conjunction with AI/ML and data science frameworks
Strong proficiency in Python for data science, including frameworks such as scikit-learn, pandas, numpy, etc
Experience working in JupyterLab environments for collaborative AI and analytics work
Solid background in AI/ML algorithms and workflows
Experience with complex data analysis and data science tasks using SQL, including data model design
Excellent problem-solving and communication skills
Must possess or have the ability to obtain and maintain a TS/SCI with Poly

Preferred

Oracle Cloud certifications (OCI Data Science, ADB, etc.)
Experience with MLOps practices and DevOps in cloud environments
Familiarity with secure cloud architectures and enterprise compliance standards
Prior experience working in a global enterprise setting

Company

Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.

Funding

Current Stage
Public Company
Total Funding
$25.75B
Key Investors
HSBC,JPMorgan Chase & Co.Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO

Leadership Team

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Esteban Rubens
Healthcare Field CTO
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Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
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Company data provided by crunchbase