SAP NS2 AI Consultant
Listed on 2026-01-03
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IT/Tech
Data Analyst, Cloud Computing
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.
What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
COMPANY DESCRIPTION
SAP is the global market leader for business software and related services. SAP National Security Services Inc.® (SAP NS2®) is an independent U.S. subsidiary of SAP. At SAP NS2, we leverage best-in-breed technologies engineered by SAP to protect the lives, assets and information of Americans. We offer SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.
This position requires access to customer data;
Must be a U.S. citizen. SAP NS2 does not offer Visa sponsor ships for this role. All internals must have manager’s approval to transfer.
Please note:
This role is hybrid, and candidates must be within a commutable distance to our Herndon VA office
- Dive deep into the landscape of Business AI, exploring current trends, methodologies, and best practices.
- Learn and understand SAP NS2's existing systems using SAP AI - Business Transformation Platform (BTP) and identify opportunities for AI and data analytics integration.
- Collaborate closely with various engineering teams to facilitate the adoption of AI and data-driven solutions.
- Engage with customers to gather requirements, understand their challenges, and translate them into actionable AI functionalities, considering the role of data insights.
- Contributes to the design and conceptualization of SAP’s new AI-powered features and products, potentially incorporating data analytics capabilities.
- Proven experience in developing and optimizing machine learning models
- Strong competence with various tools, procedures, and programming languages relevant to machine learning and AI, such as Python, Tensor Flow, PyTorch, etc.
- Experience in applying recent research breakthroughs to real-world problems to create business value.
- Ability to obtain and maintain security clearance.
- Ability to work independently and collaboratively on projects with moderate complexity.
- Strong problem-solving skills with the ability to enhance existing systems and processes.
- Excellent communication skills to build collaborative work relationships and convey relevant messages clearly and constructively.
- Proficiency in designing and implementing novel machine learning algorithms.
- Understanding of AI ethics and explainability.
- Ability to ensure performance and system scalability through collaboration with development teams.
- Innovative mindset to push the frontiers of machine learning with real data.
- Ability to understand business problems from beginning to end and apply research insights effectively.
- Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone –…
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