Must have

• Data science

• Python

• PyTorch

• TensorFlow

• Design Patterns

• Multithreading

• AI

• NLP

• spaCy

• Azure

• Cloud computing

• English

Nice to have

• Kubernetes

• Docker

• CD pipeline

• Deep learning

• Computer vision

• PostgreSQL

Requirements description

Requirements

• Minimum 6+ years of hands-on experience in data science.
• Strong programming skills in Python, PyTorch, TensorFlow, and related libraries.
• Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI/GenAI model deployment.
• Proficiency in NLP techniques: RegEx, SpaCy, NLTK, text representation, and semantic extraction.
• Hands-on experience developing, training, and fine-tuning LLMs and AI models.
• Practical knowledge of CNN, RNN, GANs, RAG, LangChain, and Transformers.
• Expertise in prompt engineering techniques and vector databases.
• Familiarity with Azure Cloud Computing Platform.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Experience with Deep Learning, Computer Vision, CNN, RNN, LSTM.
• Knowledge of vector databases (Milvus, Postgres, etc.) and other database technologies.

Offer description

About the Project

This project focuses on leveraging cutting-edge AI and generative AI (GenAI) technologies to enhance tax operations, including consolidation, reconciliation, reporting, and interpretation of unstructured tax documentation. You will work closely with engineers, data scientists, and business analysts to integrate large language models (LLMs) and advanced AI techniques into core tax processes, while ensuring compliance with regulatory standards.

Your responsibilities

1. Design cost and revenue allocation processes, translating business requirements into technical solutions in SAP PaPM.
2. Participate in end-to-end SAP PaPM implementations and integrate with SAP BW, HANA, BPC, FICO, and Analytics Cloud.
3. Optimize standard SAP processes to minimize the need for custom solutions.
4. Perform data modeling, define business rules, and integrate SAP and non-SAP systems.
5. Collaborate closely with development, testing, compliance, and PMO teams to ensure project alignment.
6. Actively support and enhance existing business processes.