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Sap Machine Learning Jobs (NOW HIRING)

OrangePeople

SAP Architect

Plano, TX

Utilize machine learning and predictive capabilities within SAP BTP to support cash flow forecasting, risk management, and anomaly detection. * Process Automation and Optimization * Identify and ...

Yantran LLC

SAP HANA Program Manager

Austin, TX · Hybrid

SAP S/4 HANA Activate Or PMP certification is required Knowledge of machine learning concepts and hands-on exposure to AI APIs. Demonstrated experience in AI adoption within SAP Env.(SAP Joule, SAP ...

SAP

SAP iXp Intern - AI Engineer

Palo Alto, CA · On-site

About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

SAP

SAP iXp Intern - AI Engineer

Palo Alto, CA · On-site

$19.25 - $25/hr

About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

Kaav Inc.

SAP ECC MM Consultant

Newark, NJ · On-site

$65.75 - $89.75/hr

The SAP ECC MM Techno Functional Lead will provide Functional/Technical Leadership of projects ... Required Skills : RPA,Machine Learning,Enterprise Application Support,Software Architecture,Program ...

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Sap Machine Learning information

What are the key skills and qualifications needed to thrive as an SAP Machine Learning specialist, and why are they important?

To thrive as an SAP Machine Learning specialist, you need strong knowledge in data science, machine learning algorithms, and SAP technologies, often supported by a degree in computer science or a related field. Familiarity with SAP Leonardo, SAP HANA, Python, and data visualization tools, as well as relevant certifications like SAP Certified Application Associate, is typically required. Critical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are important soft skills in this role. These skills ensure effective integration of machine learning solutions within SAP environments, driving business innovation and efficiency.

What are some typical challenges faced by SAP Machine Learning professionals when integrating machine learning models into existing SAP systems?

SAP Machine Learning professionals often encounter challenges such as ensuring seamless integration between custom machine learning models and SAP's standard modules, managing data quality and consistency across large enterprise datasets, and adhering to strict security and compliance standards. Additionally, they may need to work closely with cross-functional teams—including SAP functional consultants, data engineers, and business analysts—to translate complex business requirements into effective ML solutions. Staying current with SAP's evolving ML toolset and best practices is also crucial for success in this dynamic role.

What is a SAP Machine Learning specialist?

A SAP Machine Learning specialist is a professional who designs, develops, and implements machine learning solutions within the SAP ecosystem. They leverage SAP's tools, such as SAP Leonardo or SAP Business Technology Platform, to integrate AI and machine learning capabilities into business processes and applications. Their work often involves data modeling, algorithm development, and deploying predictive analytics to help organizations automate tasks and make data-driven decisions.

What is the difference between Sap Machine Learning vs Sap Data Scientist?

AspectSap Machine LearningSap Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; certifications in machine learning or AIBachelor's or Master's in Data Science, Statistics, or related fields; certifications in data analysis or AI
Work EnvironmentDeveloping and deploying machine learning models within SAP environmentsAnalyzing data, building models, and providing insights within SAP or enterprise settings
Industry UsageUsed in enterprise software, AI integration, and automation projectsApplied in data analysis, predictive modeling, and business intelligence

Both roles require strong analytical skills and knowledge of machine learning or data analysis. Sap Machine Learning focuses on developing and implementing machine learning models within SAP systems, while Sap Data Scientist emphasizes analyzing data and creating insights. The roles often overlap but differ mainly in their focus on model deployment versus data analysis.

Infographic showing various Sap Machine Learning job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.
SAP Architect

SAP Architect

OrangePeople

Plano, TX

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

We are seeking an experienced SAP Architect with a specialized focus on the SAP Business Technology Platform (BTP) to drive the strategic architecture and solution design within our finance portfolio. As an SAP Architect with OrangePeople, you will lead the design, implementation, and optimization of SAP solutions that enable our clients to streamline processes and drive operational efficiency. This role will be pivotal in advancing our digital transformation initiatives by leveraging SAP BTP's capabilities to streamline, optimize, and innovate financial processes. As an SAP Architect, you will collaborate with cross-functional teams to define and implement best practices, ensuring our finance systems are scalable, integrated, and aligned with our business goals.
Key Responsibilities:
  • Architect and Solution Design
    • Develop comprehensive SAP architecture for finance applications on SAP BTP, ensuring alignment with business objectives and technical standards.
    • Design end-to-end solutions that integrate SAP BTP with S/4HANA Finance, SAP Analytics Cloud, and other third-party systems to support financial planning, analysis, and reporting.
    • Provide architectural guidance to optimize performance, reliability, and scalability of SAP finance solutions on BTP.
  • Integration and Data Management
    • Design and manage integrations between SAP and non-SAP finance applications using SAP Integration Suite, ensuring a seamless flow of financial data across platforms.
    • Leverage SAP Data Intelligence for data transformation, migration, and real-time data streaming to support accurate financial insights.
    • Collaborate with data governance teams to ensure compliance, security, and integrity of financial data.
  • Analytics and Insights
    • Implement solutions within SAP Analytics Cloud to enable advanced financial analytics, reporting, and dashboarding for enhanced decision-making.
    • Utilize machine learning and predictive capabilities within SAP BTP to support cash flow forecasting, risk management, and anomaly detection.
  • Process Automation and Optimization
    • Identify and implement Intelligent RPA (Robotic Process Automation) solutions within SAP BTP to automate repetitive financial processes, such as invoicing, reconciliation, and auditing.
    • Work with business stakeholders to streamline and optimize financial workflows, improving accuracy and reducing cycle times.
  • Compliance and Security
    • Ensure that finance solutions on SAP BTP adhere to regulatory standards and compliance requirements, such as GDPR and SOX.
    • Implement security best practices to protect sensitive financial data, collaborating with IT security teams to manage risk.
  • Technical Leadership and Collaboration
    • Act as a thought leader in SAP architecture, mentoring and guiding other team members and stakeholders in best practices for finance solutions on BTP.
    • Work closely with finance and IT teams to translate business requirements into technical solutions.
    • Continuously evaluate new features within SAP BTP to identify opportunities for innovation and improvement.
Qualifications:
  • Bachelor's or Master's degree in Information Technology, Computer Science, Finance, or a related field.
  • 8+ years of experience in SAP architecture, with a strong background in finance solutions.
  • Deep expertise in SAP Business Technology Platform, particularly in the areas of data management, integration, analytics, and process automation.
  • Proficiency in SAP S/4HANA Finance, SAP Analytics Cloud, and SAP Integration Suite.
  • Hands-on experience with Intelligent RPA, machine learning, and data intelligence within SAP BTP.
  • Strong understanding of finance processes, compliance standards, and data security practices.
  • Excellent communication, collaboration, and problem-solving skills.
Benefits:
  • 401(k).
  • Dental Insurance.
  • Health insurance.
  • Vision insurance.
  • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
  • The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities:
  • Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
  • Contribute to OrangePeople technical discussions, peer reviews, etc.
  • Contribute content and collaborate via the OrangePeople-Wiki/Knowledge Base.
  • Provide status reports to OrangePeople Account Management as requested.
About us:
OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & technologies, innovative training & education. An ideal OrangePeople Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation.

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