AI ML Implementation Support Engineer

Job ID

505359

Posted since

06-May-2026

Organization

Siemens Healthineers

Field of work

Research & Development

Company

Siemens Healthcare Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Office/Site only

Employment type

Permanent

Location(s)

• Bangalore - Karnataka - India
  
  

Qualification: B.E/MCA/ME degree (CSE/IS/DS)

Experience

• 4 – 7 years of Hands-on experience software development, scripting with Python, SQL, or similar scripting languages, data workflows, DevOps, or related technical activities.
• Exposure to latest AI/ML technologies, data platforms, or cloud environments and exposure in building AI agents.
  
  

Responsibility: The role serves as a bridge between developers, data scientists, tool owners, legal experts and project managers, ensuring high quality tool usage, smooth platform operations, and compliance with internal and regulatory requirements

• Enable R&D teams to efficiently develop, deploy, and operate data-driven and AI enabled solutions by providing expert support, tool onboarding, platform configuration, and technical guidance across the Big Data & AI ecosystem.
• Troubleshoot technical issues, analyze root causes, and coordinate fixes with tool owners, developers, and central IT
• Onboard new users and teams to Big Data/AI platforms, including access management, environment setup, and best practices.
• Develop guidance, FAQs, and training materials to improve adoption and maturity in the business line
• Support updates, configurations, and maintenance of tools in alignment with internal quality and security requirements
• Support alignment with regulatory requirements applicable to software in medical devices (e.g., IEC 62304, ISO 13485) when relevant for AI tool environments
  
  

Skills

Mandatory:

• Familiarity with Python, SQL, or similar scripting languages.
• Basic understanding of machine learning concepts and model lifecycle
• Knowledge on AI/ML concepts and exposure to frameworks like scikit‑learn, TensorFlow, PyTorch
• Exposure to pipelines, automation, or data processing workflows (e.g., CI/CD, ETL, basic data engineering tasks)
  
  

Optional

• Continuous learning attitude, especially towards AI and data technologies
• Understanding of Cybersecurity concepts as per ISO Standards are highly recommended & Ability to handle vulnerable items related to Application layer.
• Understanding of ISO 27001 information security standards, ISO 13485:2016 and 21CFR requirements for quality management systems, particularly relevant to medical device software.
• Passion for exploring new tools and technologies with quick learning skills

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