- 班加罗尔 - Karnataka - 印度
Research Engineer
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 – Machine Learning and Generative AI
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 Machine Learning and Gen AI skills? We are looking for an energetic and talented engineer to join our R&D team in Bangalore.
Our Research Group (Advanced Data Management) 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 Machine Learning and Generative AI Techniques
- 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.
- 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: 0-5 years of experience in Machine Learning, Generative AI, Timeseries Analytics and related AI technologies
Technical Expertise:
- 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., timeseries data, text, image, audio).
- 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:
Create a better #TomorrowWithUs!
· We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
· Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.