Job Description

Job ID

522222

Posted since

16-Sep-2026

Organization

Global Business Services

Field of work

Research & Development

Company

Siemens Technology and Services Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Office/Site only

Employment type

Permanent

Location(s)

• Bangalore - Karnataka - India

Hello go-getter

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs.

You’ll make a difference by:

• As an artificial intelligence engineer, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying current with the latest developments in a rapidly changing field. Your duties will include collecting and analyzing data sets to identify patterns and develop predictive algorithmic models.
• We are looking for an experienced AI engineer to join our multidisciplinary team to help in shaping our AI strategy and showcasing the potential for AI through early-stage solutions. The potential candidates must have proven expertise in using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help the internal teams promote diverse business outcomes and drive innovation.
• Design and develop AI models to meet project requirements.
• Convert AI/ML models into APIs that other developers can use Perform statistical analysis on big data sets.
• Manage project infrastructure and the development of AI models and projects Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models.

Your success is grounded in:

• Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended.
• Solid understanding of common programming languages used in AI, such as Python, Java, C++, Proven experience in applying AI to practical and all-inclusive technology solutions.
• Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability.
• Good understanding of distributed systems, understanding of microservice architecture and REST APIs.
• Experience working with large data sets and writing efficient code capable of processing large data streams at speed Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Excellent communication skill.

Join us and be yourself!

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, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries.