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

AI/ML Implementation Support Engineer