Research Engineer – Generative AI & Natural Language Processing (NLP)

Hello Talented Techie!

To solve the biggest challenges of our time, we need inquisitive minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference, and grow in a team of innovators who share your passion for tech. Are you in?

We are looking for a Research Engineer – Generative AI & Natural Language Processing (NLP)

Introduction

With over 1,900 research operatives worldwide, the Technology organization occupies a special position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Technology helps secure the company's technological future and bolster its competitiveness.

Are you passionate about growing your Generative AI or NLP skills? We are looking for an energetic and talented engineer to join our R&D team in Bangalore.

Our Research Group (Semantics Data & Engineering) is part of Data Analytics & Artificial Intelligence (DAI) Technology Field of FT (Foundational Technology) Research. Headquartered in Munich, we are a passionate global team of researchers, data scientists and architects distributed across the globe. We strive to solve complex problems in various domains ranging from mobility, industry, energy, and buildings to smart cities by applying methods and principles of data analytics and artificial intelligence. We are looking for equally passionate techies to join us in this exciting journey of finding innovative solutions to some non-trivial industrial problems.

You’ll create impact by:

• Apply Generative AI & NLP Techniques
• Utilize state-of-the-art Generative AI and NLP techniques to extract insights from large volumes of data with different modalities such as text, image, charts, graph, video, sound, 2D Drawing, 3D geometry, code & logs.
• Work on various Generative AI applications such as text generation, retrieval-augmented generation (RAG) systems, Q&A systems, and recommendation engines tailored for business and industrial contexts.
• Develop Innovative AI Applications with Agentic AI workflows
• Collaborate with cross-functional teams to create and enhance Agentic AI capabilities, including developing skill-based agents for specific tasks in industrial use cases.
• Fine-tune and benchmark Generative AI models using domain-specific datasets, focusing on performance improvement, reliability, and scalability.
• Implement and evaluate modality-specific encoder models (text, image, audio), optimizing them for specific industrial applications.
• Brainstorm and propose new application use cases for Generative AI in industrial setups, such as predictive maintenance, process optimization, and intelligent automation.
• Contribute to creating intellectual property (IP) and publish research findings in top-tier journals and conferences.
• Collaborate and Contribute in a fast-paced Environment
• Work effectively in an agile, dynamic team environment, delivering technical implementations with complex dependencies and requirements.
• Commitment to ethical AI practices, including bias mitigation, fairness, transparency, and data privacy.
• Strong collaboration skills to work with cross-functional teams and non-technical stakeholders.

You’d describe yourself as:

• PhD/Master’s/bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field from a reputed institute.
• Experience: 2-5 years of experience in Generative AI, NLP, and related AI technologies, including model fine-tuning and evaluation.

Technical Expertise:

• Solid understanding of Generative AI models and NLP techniques, including RAG systems, text generation, and embedding models.
• Exposure to Agentic AI concepts, agent development and frameworks
• Hands-on experience with Generative AI, machine learning tool, libraries and frameworks
• Knowledge of modality-specific encoder models (e.g., text, image, audio).
• Familiarity with data standardization and Knowledge Graphs (good to have).
• Analytical Mindset:
• Strong problem-solving skills with the ability to design and implement novel AI solutions.
• Dedication to continuous learning and staying updated on the latest Gen AI advancements.
• Excellent communication skills and the ability to work collaboratively in a team.

Join us and be a part of a team that is shaping the future of industrial automation and business intelligence through Generative AI innovations! Make your mark in our exciting world at Siemens.

Join Siemens:

At Siemens, we value diversity, creativity, and curiosity. If you're passionate about making a meaningful impact in the world of General Artificial Intelligence and Natural Language Processing, and if you meet the qualifications and specifications described above, we encourage you to join our team. Shape tomorrow with us as we continue to build the future one day at a time.

Siemens is an equal opportunity employer. All employment decisions are based on qualifications, merit, and business need.

Are you ready to contribute to our exciting world at Siemens? Apply now and be a part of our journey to transform industries and shape the future.

We look forward to knowing you.

Find out more about department at https://www.siemens.com/global/en/company/innovation/research-development/siemens-core-technologies/data-analytics-artificial-intelligence.html