AIML Developer (limited full-time)

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

We are seeking a highly motivated and innovative Machine Learning & AI Young Professional Graduate to join our team. The ideal candidate will have a strong background in cutting-edge AI technologies including CausalAI ML Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and Python coding. You will play a crucial role in developing deploying and maintaining machine learning solutions across various projects along with implementing AI-driven systems in a cloud or hybrid infrastructure environment.

If you are a problem-solver with a passion for machine learning and artificial intelligence and are excited by complex engineering challenges this is the role for you!

What youll build

Machine Learning & AI Development

• Develop and deploy AI/ML models with a focus on LLMs (e.g. GPT Transformer models).
• Implement solutions leveraging Retrieval-Augmented Generation (RAG) techniques to enhance contextual response generation.
• Fine-tune pre-trained models for domain-specific applications.
• Use Python and ML frameworks ( AI CausalAI Graph) for prototyping and production.

Project Implementation

• End-to-end ML project deployment from requirement gathering to production.
• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
• Ensure performance optimization scalability and reliability of ML models in production environments.
• Implement quality assurance processes including testing monitoring and debugging both models and code.
• Work with containerization technologies (e.g. Docker Kubernetes) for scalable infrastructure management.
• Leverage open telemetry tools for monitoring and observability of deployed solutions.

Telemetries & Networking Expertise (Nice to Have)

• Integrate Open Telemetry solutions for real-time monitoring of AI pipelines and systems.
• Contribute to infrastructure automation and deployment best practices leveraging CI/CD pipelines.

What you bring

• 12 months availability in this paid role ( possible prolongation)
• Bachelors or masters degree in computer science Engineering Data Science or a related field.
• Hands-on experience in AI/ML projects and cloud solutions.
• Strong understanding of foundational and advanced machine learning techniques including NLP and deep learning.
• Solid experience with developing and deploying LLM-based solutions (e.g. GPT OpenAI Hugging Face).
• Hands-on experience with RAG workflows knowledge vectors and embedding engines (e.g. FAISS Weaviate Pinecone).
• Advanced Python programming skills with a focus on ML and AI libraries (TensorFlow PyTorch LangChain etc.).
• Experience in cloud platforms (AWS Azure GCP) for AI/ML workloads.
• Proficiency with container tools such as Docker Kubernetes and orchestration technologies.
• Familiarity with monitoring solutions like OpenTelemetry Prometheus Grafana etc.

Preferred Skills & Experience

• Experience with networking concepts related to AI/cloud deployment environments (e.g. VPN subnet firewalls).
• Knowledge of API integration and microservices architecture.
• Experience in MLOps and CI/CD pipelines for ML deployment automation.
• Familiarity with data engineering processes (e.g. ETL pipelines data pre-processing workflows).

Soft Skills

• Strong problem-solving analytical and critical-thinking abilities.
• Excellent verbal and written communication skills for collaborating with technical and non-technical stakeholders.
• Self-driven and able to manage multiple projects simultaneously in a fast-paced environment.
• Team player with a mindset focused on innovation and continuous improvement.

What We Offer

• Competitive compensation and benefits package.
• Access to state-of-the-art AI technologies and tools.
• Opportunities to lead high-impact projects and shape the companys AI strategy.
• Professional development education reimbursement and training.
• A dynamic collaborative and inclusive work environment.

Join us and be part of an innovative team building cutting-edge AI solutions!

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software SAP has evolved to become a market leader in end-to-end business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves. At SAP you can bring out your best.

We win with inclusion
SAPs 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:

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.

Successful candidates might be required to undergo a background verification with an external vendor.

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.

Requisition ID: 444826 Work Area: Information Technology Expected Travel: 0 - 10% Career Status: Graduate Employment Type: Limited Full Time Additional Locations: #LI-Hybrid