Software Developer for NLP Solutions - Product Localization at Siemens

Job description

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. Position Overview: 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. Key Responsibilities: • 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. Qualifications: • 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 performance and relevance scoring • Demonstrated ability to create custom evaluation metrics for RAG system performance • Knowledge of best practices in prompt engineering and context window management • Natural Language Processing (NLP): • Experience with Key techniques and concepts in NLP, NLU and NLG • Experience with API development and microservices architecture • Understanding of enterprise security requirements for AI systems • Familiarity with MLOps practices and deployment pipelines • Background in software localization or familiarity with localization processes is highly desirable. • Technical Skills: • Proficient in programming languages such as C++, Java, Python, etc. • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their corresponding AI services. • Experience with Gen AI, LLMs, Agentic AI, Vector DBs • Machine Learning Strategies • Experience working with continuous integration and delivery (CI/CD) pipelines. • Soft Skills: • Excellent problem-solving abilities and attention to detail. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Collaborative mindset and experience working in cross-functional teams. • Certifications: • Relevant certifications in machine learning or NLP are a plus but are not required. Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Siemens Software. Transform the Everyday with Us #LI-PLM #LI-HYBRID #SWSaaS The pay range for this position is $90,000 - $162,000 annually with a target incentive of 3-5% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $90000 - $162000 annually with a target incentive of 3-5% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Requirements

Must-haves

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
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.
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 performance and relevance scoring
Demonstrated ability to create custom evaluation metrics for RAG system performance
Knowledge of best practices in prompt engineering and context window management

Nice-to-haves

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.
Relevant certifications in machine learning or NLP are a plus but are not required.

Application prep

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Keywords to mirror

aimachine learningagilescrumazureawsapijavapythonci/cd

Platform: avature
Effort: medium

Benefits

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