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- Tasks: Design and develop advanced AI and ML models for SAP environments.
- Company: Leading IT services provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team to revolutionise enterprise processes with AI-driven insights.
- Qualifications: Strong knowledge of ML fundamentals, Python experience, and SAP BTP integration skills.
- Other info: Collaborative environment with a focus on intelligent automation.
The predicted salary is between 48000 - 72000 £ per year.
A leading IT services provider in the United Kingdom is seeking a Senior SAP AI & ML Engineer to design, develop, and integrate advanced Machine Learning models and AI services into SAP environments. The role requires strong knowledge of ML fundamentals, hands-on experience with Python and various ML frameworks, as well as expertise in SAP BTP integration.
Ideal candidates will collaborate with cross-functional teams to enhance enterprise processes through intelligent automation and AI-driven insights.
Senior SAP AI/ML Engineer - GenAI & MLOps employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAP AI/ML Engineer - GenAI & MLOps
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with SAP and AI/ML. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML models and AI services. This is your chance to demonstrate your hands-on experience with Python and various ML frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of SAP BTP integration. Be ready to discuss how you've used it in past projects or how you would approach integrating AI into enterprise processes.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Senior SAP AI/ML Engineer - GenAI & MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning and SAP integration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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, and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python and ML frameworks. We’re looking for someone who can hit the ground running, so highlight any specific tools or technologies you’ve worked with.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Luxoft
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be ready to discuss key concepts, algorithms, and how they apply to real-world scenarios, especially in SAP environments. This will show that you have a solid foundation and can contribute effectively.
✨Showcase Your Python Skills
Prepare to demonstrate your hands-on experience with Python. You might be asked to solve a coding problem or explain how you've used Python in previous projects. Practising common ML tasks in Python can help you feel more confident during this part of the interview.
✨Understand SAP BTP Integration
Familiarise yourself with SAP Business Technology Platform (BTP) and its integration capabilities. Be ready to discuss how you've integrated AI and ML models into SAP systems in the past. This knowledge will highlight your expertise and ability to enhance enterprise processes.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, be prepared to talk about your collaboration experiences. Share examples of how you've worked with different stakeholders to achieve project goals. Good communication skills are key, so practice articulating your thoughts clearly.
