AI/ML Implementation Support Engineer

Job description

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