Software Developer NLP Solutions - Product Localization

Job Family: Software

Req : 519745

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

As a software developer, you will play a critical role in enhancing our localization efforts through the development, implementation and optimization of advanced software applications and AI data-driven solutions. You will work closely with cross-functional teams to design, code, implement and optimize localization agents, applications and data workflows, enhance language models, and optimize AI data selection, maintenance and usage.

• Develop, evaluate, deploy and document AI capabilities, applications and solutions – implement custom AI data retrieval systems

• Develop and implement AI agents and applications

• Design and build chatbots and virtual assistants

• Design, develop, test and deploy web apps

• Create and optimize question-answering systems

• Develop and enhance text summarization algorithms

• Implement advanced search techniques and algorithms

• Collaborate with cross-functional teams to integrate AI solutions into products

• Conduct research and stay updated with the latest advancements in NLP and machine learning

• Develop, evaluate, deploy, and document AI solutions – implement custom AI/RAG data retrieval systems:

• Design, code, test and implement AI agents, applications, solutions and custom data to improve machine translation, translation quality prediction, text analysis and language processing as part of the comprehensive corporate localization workflow. Add custom data to RAG repositories, develop continuous custom data pipeline. Participate in agile scrum ceremonies like daily standup, sprint planning, sprint review and retrospective.

• Optimize Localization Data Workflows and Usage:

• Collaborate with localization specialists to automate and enhance translation processes.

• Develop tools to assist in localization activities, terminology management, glossary creation, and consistency checks. Create and optimize custom data pipelines and workflows for efficient data handling and processing.

• Research and Innovation:

• Stay updated on the latest developments in NLP and machine learning. Propose and implement innovative solutions to complex language processing challenges.

• Cross-functional Collaboration:

• Work with software engineers, product managers, and localization teams to integrate AI solutions into our products. Provide technical guidance and support to team members on data science and AI methodologies.

• Performance Monitoring:

• Evaluate the effectiveness of AI models and algorithms. Evaluate data effectiveness for custom capabilities/AI agents. Measure efficiency of custom data. Optimize models based on performance metrics and user feedback. Take ownership for the data science workflow including exploratory data analysis and model development. Document and present findings, methodologies, and results to stakeholders.

• Education:

• Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, Artificial Intelligence, or a related field. Master’s degree a plus but not required.

• Experience:

• Minimum of 3 years of professional experience developing applications and solutions. Experience developing applications and solutions either hosted on or connected to cloud platforms (Azure, AWS, etc.)

• Experience developing multilingual projects and handling language-specific challenges. Experience implementing custom AI and RAG systems.

• Building and optimizing vector databases for efficient information retrieval

• Implementing and fine-tuning embedding models for document processing

• Creating custom chunking strategies and document preprocessing pipelines

• Developing context-aware prompt engineering solutions

• RAG (Azure, AWS) Implementation:

• Successfully deployed production-grade RAG systems that integrate with existing enterprise infrastructure

• Experience in optimizing retrieval…