AI Engineer / Data Scientist with special focus on Gen AI
As a Partner of Choice, Global Business Services (GBS) shapes our Global Business Services (GBS) center support Siemens’ companies worldwide to achieve excellence in their internal processes by providing smart and digital end-to-end solutions.
We are a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a groundbreaking role.
Who are we looking for?
We are seeking an innovative and highly skilled Data Scientist with a strong focus on Generative AI to join our dynamic team. In this role, you will be at the forefront of designing, developing, and deploying cutting-edge Generative AI solutions, using the latest models to solve complex industrial and business challenges. You will contribute to building intelligent systems that can generate novel content, insights, and solutions across various domains within Siemens.
What role will you play?
- Research & Development: Conduct research into the latest Generative AI architectures Large Language Models (LLMs) and apply them to real-world problems.
- Model Design & Implementation: Design, implement, and fine-tune Generative AI models for tasks such as text generation, image synthesis, code generation, and synthetic data creation.
- Data Engineering: Collaborate with other data engineers to identify, collect, preprocess, and manage datasets suitable for implementing the business Generative AI solutions.
- Evaluation & Optimization: Develop robust evaluation metrics and methodologies for Generative AI models, analyze performance, and iterate on model architectures and training strategies for optimal results.
- Collaboration: Partner with cross-functional teams including product managers, software engineers, domain experts, and researchers to understand requirements and integrate AI solutions.
- Innovation & Thought Leadership: Stay abreast of the latest advancements in AI, machine learning, and Generative AI research, contributing to internal knowledge sharing and potentially external publications or patents.
- Ethical AI: Ensure that all Generative AI solutions are developed and deployed responsibly, adhering to ethical AI principles and data privacy regulations
Which conditions should you meet?
- Bachelor’s degree in computer science, Information Technology, or a related field
- Experience with any of the major cloud platforms (AWS, Azure, or GCP)
- Advanced Python programming skills for automation and tool development
- Solid knowledge of data engineering and streaming tools
- Hands-on experience with some MLOps solutions. Examples: MLflow, Kubeflow, Airflow, CI/CD tools, etc.
- GenAI - based cloud solutions like OpenAI, Bedrock, etc.
- Experience with prompt engineering, LLM usage and best practices
- Understanding of storage solutions and data lifecycle management
- Ability to work in a self-organized team
- Strong orientation to the customer is key
- Experience leading technical teams and mentoring junior engineers
- Ability to translate complex technical concepts to non-technical stakeholders
- Fluent in English, speaking, reading, and writing (mandatory)
- Experience with Microsoft Teams chatbots/integrations (it would be a plus)
- Experience working with Databricks is big plus.
Want to know more about GBS?
Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services for companies and organizations in all sectors.
Our portfolio in the areas of Finance, HR and Supply Chain Management include end-to-end services in Opportunity-to-Cash, Purchase-to-Pay, Record-to-Report, Hire-to-Retire, Delivery Management and Digital Solutions. Check out more!
You will love to have:
Flexible home office policy and flexible schedule, financial support to build your perfect home office, medical center and canteen in the facilities, sport groups, volunteering initiatives, social and networking events. We also provide access to e-learning platforms and discounts with partners!
#Siemens #peopleatsiemens #gbspartnerofchoice
We recognize that building a diverse workforce is essential to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, sex, marital status, sexual preference, or non-disqualifying physical or mental handicap or disability.
We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss workplace adjustments with all our applicants to develop agile working and innovation.
AI Engineer
As a Partner of Choice, Global Business Services (GBS) shapes our Global Business Services (GBS) center support Siemens’ companies worldwide to achieve excellence in their internal processes by providing smart and digital end-to-end solutions.
We are a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a groundbreaking role.
Who are we looking for?
We are looking for a highly skilled AI Engineer with a strong foundation in software engineering and cloud application development to join our growing team. This role is ideal for someone who thrives in a collaborative, fast-paced environment and is passionate about building scalable, high-performance, applications using modern cloud-native technologies. You will build highly integrated AI Agents that uses LLMs as the reasoning engine. Candidates with strong Software Engineering backgrounds who demonstrate enthusiasm for learning these new technologies are encouraged to apply.
What role will you play?
- Design, develop, and deploy serverless/containerised AI applications using python and cloud native services.
- Build AI Agents that works seamlessly with existing production systems.
- Effectively collaborating with multiple teams across the organisation to integrate the different systems.
- Analyse system performance, identify bottlenecks, and implement improvements to enhance scalability and reliability.
- Monitor and troubleshoot issues including timeouts and connectivity problems.
Which conditions should you meet?
- Strong grasp of software engineering principles and DevOps practices.
- Hands-on experience with AWS/Azure.
- Proficiency in FastAPI for building RESTful APIs.
- Strong understanding of cloud-native architecture and microservices.
- Basic understanding of LLM/MLOPS and monitoring AI Systems.
- Demonstrated understanding of complex system integrations.
Preferred/Bonus Skills:
- Experience working with Databricks is big plus.
- Experience working in enterprise-level IT environments.
- Experience on AWS ecosystem (Lambdas, Gateway, Fargate, etc.)
- Experience working with Snowflake, SAP, ServiceNow, Salesforce.
- Experience working with LLM frameworks (e.g., DSPy, LangChain, LlamaIndex, etc.).
- Already worked on analysing latency, improve scalability, checking timeouts, etc. (network infrastructure).
- Knowledge of prompt engineering and optimization techniques.
- Understanding of the A2A and MPC protocol.
- Familiarity with agent evaluation frameworks and testing methodologies.
- Experience with vector databases and retrieval systems
- Awareness of RPA tools like UI Path, power automate, etc.
Want to know more about GBS?
Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services for companies and organizations in all sectors.
Our portfolio in the areas of Finance, HR and Supply Chain Management include end-to-end services in Opportunity-to-Cash, Purchase-to-Pay, Record-to-Report, Hire-to-Retire, Delivery Management and Digital Solutions. Check out more!
You will love to have:
Flexible home office policy and flexible schedule, financial support to build your perfect home office, medical center and canteen in the facilities, sport groups, volunteering initiatives, social and networking events. We also provide access to e-learning platforms and discounts with partners!
#Siemens #peopleatsiemens #gbspartnerofchoice
We recognize that building a diverse workforce is essential to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, sex, marital status, sexual preference, or non-disqualifying physical or mental handicap or disability.
We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss workplace adjustments with all our applicants to develop agile working and innovation.