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For Companies At a Glance
- Tasks: Design and develop AI and ML solutions for SAP, optimising enterprise processes.
- Company: Join a leading tech firm focused on innovative AI integration.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by embedding intelligent automation in business processes.
- Qualifications: Strong knowledge of machine learning and experience with SAP BTP.
- Other info: Collaborative environment with opportunities to mentor and grow your skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The SAP AI & ML platform enables enterprises to embed intelligent automation, predictive analytics, and AI-driven insights into SAP business processes using SAP S/4HANA, SAP BTP, and cloud-native AI services. As a Senior SAP AI & ML Engineer, you will work closely with SAP Architects, Data Scientists, and Business Stakeholders to design, develop, and integrate Machine Learning models (including MLPs) and AI services into SAP landscapes. You will leverage SAP coding standards, GitHub-based DevOps, SAP BTP AI services, and GenAI capabilities to optimize enterprise processes and enable data-driven decision‑making. The consultant will work closely with functional teams, ABAP developers, and architects to deliver intuitive, secure, and high‑performing user interfaces using SAP Fiori and SAP UI5.
Responsibilities
- Design and develop SAP-based AI and ML solutions aligned with enterprise architecture standards.
- Build, train, deploy, and monitor ML models (including MLPs) for SAP business use cases.
- Integrate AI/ML solutions with SAP systems (S/4HANA, BW, Datasphere) using APIs and OData services.
- Develop SAP applications using ABAP, CDS, RAP/CAP, and SAP BTP services.
- Implement GitHub‑based version control, CI/CD pipelines, and DevOps practices.
- Collaborate with SAP Architects to ensure secure, scalable SAP and cloud integrations.
- Define security, access controls, and compliance for AI‑enabled SAP solutions.
- Identify and assess AI integration opportunities and architectural impacts.
- Document solution architecture, ML pipelines, and integration patterns.
- Support existing SAP AI solutions through structured change and release management.
- Implement GenAI use cases to enhance SAP process intelligence and automation.
- Communicate technical risks and contribute to governance and change management processes.
Skills
- Strong knowledge of Machine Learning fundamentals, including supervised learning and model evaluation.
- Hands‑on experience with MLP models, neural networks, and Python‑based ML development.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Expertise in SAP BTP, including AI Core, AI Launchpad, and integration services.
- Experience integrating AI/ML models into SAP using REST APIs, OData, and microservices.
- Proficiency with GitHub, CI/CD pipelines, and DevOps practices.
- Strong SQL and data handling skills with SAP HANA.
- Knowledge of cloud platforms (AWS, Azure, or GCP) in SAP hybrid environments.
- Experience with GenAI integration and MLOps concepts including model deployment and monitoring.
Nice to have
- Strong stakeholder engagement and cross‑functional collaboration skills.
- Excellent analytical and problem‑solving abilities.
- Ability to mentor junior developers and share best practices.
- Strong communication and documentation skills.
- Agile/Scrum experience in enterprise delivery environments.
Other Languages English: B2 Upper Intermediate
Seniority Senior
Senior SAP AI & ML Engineer employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAP AI & ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the SAP and AI/ML space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving MLP models or AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with SAP BTP, GitHub practices, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior SAP AI & ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior SAP AI & ML Engineer role. Highlight your experience with Machine Learning, SAP BTP, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML in SAP environments. Share specific examples of your work and how you can contribute to our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your hands-on experience with MLP models, Python, and any ML frameworks like TensorFlow or PyTorch. We love seeing candidates who are technically savvy!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Luxoft
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Machine Learning fundamentals and the specific frameworks mentioned in the job description, like TensorFlow or PyTorch. Be ready to discuss your hands-on experience with MLP models and how you've integrated AI/ML solutions into SAP systems.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with stakeholders, architects, and developers in the past. Highlight any experiences where you’ve mentored junior developers or contributed to cross-functional projects.
✨Demonstrate Your Problem-Solving Abilities
Prepare to tackle some technical questions or case studies during the interview. Think about challenges you've faced in previous roles, especially related to AI integration or SAP landscapes, and how you approached solving them. This will show your analytical skills and ability to think on your feet.
✨Communicate Clearly and Confidently
Strong communication is key, especially when discussing complex technical concepts. Practice explaining your past projects and technical decisions in a clear and concise manner. This will not only demonstrate your expertise but also your ability to convey information effectively to non-technical stakeholders.
