SAP BTP AI Data Scientist / Machine Learning Engineer 

Portugal 

489455682

What You'll Do

GenAI has emerged as a transformative force in society, and has the ability of creating, mimicking, and innovating a wide range of domains. This has implications for enterprise software and ultimately SAP.

Join our international multi-disciplinary AI team, where you will be working closely with Architects, Data Engineers, UX designers and many others. You'll be immersed in an environment that fosters innovation, with plentiful opportunities for personal growth and continuous learning.

As a BTP AI Data Scientist / ML Engineer, you will:

• Lead Cutting-Edge Research: Drive applied research, proof-of-concept projects, and technological exploration within our dynamic AI development team, adhering to detailed project plans and specifications.

• Collaborate Globally: Join our global IT business technology team, tackling large-scale, complex challenges. Your creativity and expertise will be pivotal in delivering top-notch technical solutions.

• Innovate Solutions: Design, implement, and test advanced AI-powered systems to address and solve intricate business challenges.

• Shape the Future of AI: Develop and enhance generative AI applications across a variety of use cases, pushing the boundaries of what’s possible.

• Drive End-to-End Projects: Take ownership of comprehensive AI/ML projects, contributing beyond algorithm development.

• Master AI Techniques: Utilize a broad spectrum of AI and Machine Learning techniques, managing all facets of the system including model architecture, pipeline automation, and metrics interpretation.

• Validate and Innovate: Validate machine learning use cases through proof-of-concepts with Large Language Models, in collaboration with SAP AI Business Technology Platform.

• Collaborate and Patent: Work closely with fellow AI Engineers and Architects, sharing knowledge and best practices, with opportunities to patent innovative solutions.

What You’ll Bring

• Proven Experience: Over 3 years of experience as a Machine Learning Engineer or Data Scientist, ideally within business application software companies.

• Generative AI Expertise: Strong understanding of Generative AI concepts and extensive knowledge of generative AI models, frameworks, and tools.

• Programming Skills: Strong coding abilities in at least one of the following programming languages: Python, Java or TypeScript.

• Technical Proficiency: Expertise in prompt engineering and tuning techniques such as chain-of-thoughts and RAG. Proficient in deep learning concepts and libraries like Scikit-learn, Numpy, Pandas, Pytoch, Generative Pre-Trained Transformer, and TensorFlow. Good knowledge with SQL.

• Scalable Solutions: Experience in developing and productizing scalable AI solutions.

• Agile Methodologies: Familiarity with Agile methodologies is preferred.

• Innovative Mindset: Ability to introduce and execute new ideas effectively.

• SAP Knowledge: Understanding of SAP technologies, including SAP BTP and SAP HANA.

• Communication Excellence: Outstanding written and verbal communication skills in English

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