Senior Machine Learning Jobs in Georgia (NOW HIRING)

Requisition ID: 459078
Work Area: Software-Design and Development
Expected Travel: 0%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T4PF-1
Original Posting Date: 08/17/2026
Job Title: Machine Learning Expert
Location: Atlanta, GA
Work Model:Hybrid Work Model.
Purpose and Objective:
SAP Labs, LLC seeks a Machine Learning Expert at our Atlanta, GA location to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities.
Expectations and Tasks:
Shape cutting-edge infrastructure and bring bold ideas from concept to production-driving meaningful impact across SAP's global ecosystem. Architect, design, and implement production systems in Go, Java and Python. Build and optimize backend services, databases, APIs, and LLM infrastructure. Leverage technologies such as Kafka, Postgres, Hana, gRPC, and advanced LLM frameworks. Mentor and guide engineers from junior to senior levels, fostering technical excellence. Partner with cross-functional teams to translate business goals into scalable, high-impact solutions.
Education and Occupational Experience:
Bachelor's degree or foreign equivalent in Technology, Engineering, or a related field of study and seven (7) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master's degree or foreign equivalent in Technology, Engineering, or a related field of study and five (5) years of experience in the job offered or related occupation.
Qualifications/Skills and Competencies Experience:
Experience must include five (5) years involving each of the following:

• Python, GoLang, or Java;

• Software architecture modeling, documentation drafting, and exercising best practices for large-scale enterprise applications; and

• Cloud-native application development and DevOps practices - PaaS offerings, CI/CD pipelines, and modern deployment techniques within SAP ecosystems.

Experience must involve two (2) years in the following:

• Working with Large Language Models (LLMs) and Generative AI with a strong understanding of emerging techniques and best practices; and

• Building Agents using Langgraph/Langchain with vector stores for building Retrieval Augmented Generation (RAG) pipelines.

Travel: N/A.
This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the SAP Internal Employee Referral Policy.
Internal use only: reference code lhrs4262
SAP:SAIL
EX:OUT
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.
We win with inclusion
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. Requests for reasonable accommodation will be considered on a case-by-case basis.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Compensation Range Transparency: The annual base salary range for this position is $152,131 - $254,745. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $176,300 - $299,700. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Additional Locations:
Requisition ID: 459078
Posted Date: Aug 17, 2026
Work Area: Software-Design and Development
Career Status: Professional
Employment Type: Regular Full Time
Expected Travel: 0%
Location: