AI Specialist
Share
Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Overview
Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Brukers high-performance scientific instruments and high-value analytical and diagnostic solutions enable scientists to explore life and materials at molecular cellular and microscopic close cooperation with our customers Bruker is enabling innovation improved productivity and customer success in life science molecular research in applied and pharma applications in microscopy and nanoanalysis and in industrial applications as well as in cell biology preclinical imaging clinical phenomics and proteomics research and clinical microbiology.
Today worldwide more than11000 employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions its broad base of installed systems and a strong reputation among its customers. Being one of the worlds leading analytical instrumentation companies Bruker is strongly committed to further fully meet its customers needs as well as to continue to develop state-of-the-art technologies and innovative solutions for todays analytical questions.
Bruker India Scientific Pvt. Ltd is seeking for a AI Specialist to join their Bruker Nano Surfaces & Metrology (BNSM) division.
Responsibilities
AI for Service Operations Excellence
- Develop and deploy AI/ML solutions that directly reduce MTTR improve firsttimefix shorten shiptoacceptance and enhance customer experience through datadriven automation and decision support.
- Build predictive models for case intent severity routing escalation risk and equipmentspecific failure patterns.
Salesforce & SAP Integration
- Embed Generative AI and machinelearning capabilities directly into Salesforce Service Cloud (desktop and mobile) including:
- Agentassist
- Automatic case summarization
- Recommended troubleshooting steps
- RAG (RetrievalAugmented Generation) with source citation
- Integrate AI insights into SAP S/4HANA service processes including RMA service contracts (ZISC) parts planning and workorder completion.
Knowledge Automation & Technical Support Enablement
- Build RAG pipelines that provide technicians and support engineers instant access to approved manuals OBQ/TQM data troubleshooting procedures escalation paths and service knowledge.
- Use AI to support structured problemsolving (8D DMAIC) by identifying patterns failure modes and likely root causes.
- Call Center & Customer Contact Optimization
- Deliver AI capabilities that increase case deflection reduce AHT (Average Handle Time) improve FCR (First Contact Resolution) and raise CSAT/NPS.
- Implement skillbased routing models aligned to Salesforce queues and the formal escalation timeline.
- Parts & Logistics Optimization
- Develop forecasting and optimization models for service parts positioning consignment strategy RMA cycle time depot stocking and shipment prioritization for down systems.
- Provide analytics to improve global 3PL performance and logistics visibility.
- NPI (New Product Introduction) Readiness
- Define AIreadiness criteria for new product launches including telemetry schemas service knowledge packaging and initial parts footprint modeling.
- Ensure new products enter the field with searchready documentation and data for AIbased troubleshooting.
- Responsible AI Compliance & Governance
- Implement model governance lineage bias evaluation and safety guardrails in alignment with Brukers Code of Conduct and IT Governance processes.
- Ensure all AI solutions meet corporate standards for security privacy auditability and global regulatory compliance.
Qualifications
- Bachelors or Masters in Computer Science Data Science AI/ML Engineering or related field.
- Strong experience building and deploying AI/ML models using Python and frameworks such as PyTorch TensorFlow or scikitlearn.
- Proven experience embedding AI into Salesforce Service Cloud workflows and integrating with SAP S/4HANA service processes.
- Handson experience with cloud AI platforms (Azure OpenAI preferred) and enterprisegrade MLOps (model registries CI/CD drift detection).
- Strong analytical skills with the ability to translate complex service problems into scalable AI solutions.
Preferred Qualifications
- Experience applying AI in industrial semiconductor scientific instrumentation or complex service environments.
- Handson experience with Generative AI RAG LLM evaluation prompt engineering and contentsafety controls.
- Understanding of global service logistics RMA workflows contracting (ZISC) consignment strategy and 3PL optimization.
- Familiarity with NPI/service readiness deliverables and phasegate processes.
Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex national origin disability veteran status and other protected characteristics.
Required Experience:
IC
Key Skills
About Company
Our Luxendo light-sheet solutions have SPIM technology to gently image living organisms or to quickly obtain 3D images of cleared-tissue samples in the life sciences.
