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Global brand, Bengaluru metro, mid-level AI role with broad platform and production requirements.
Core ML engineering skills transfer, but pharma regulatory and enterprise AI experience increase industry specificity.
Requires production AI experience and regulated-pharma Responsible AI practices, increasing mandatory filters.
Design, build, and operate AI-powered products that generate business value across Novo Nordisk, collaborating with cross-functional teams from discovery to production and continuous improvement.
Engineer the product-specific AI intelligence layer, including data/feature transformations, model and tool integration, decision logic, user-facing services, and human-oversight controls in a regulated pharmaceutical environment.
Take independent ownership of defined AI solution components and contribute to technical and product decisions, ensuring scalability, security, observability, and responsible AI practices.
2+ years of relevant experience building AI or software products, with experience taking AI-centric applications from idea to production.
B.E/M.E/B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related technical discipline.
Strong programming and software engineering skills including testing, documentation, APIs, CI/CD practices, preferably with GitHub.
Experience applying Responsible AI principles, data integrity, validation, traceability, and auditability in regulated environments (pharmaceutical domain).
Experience working in cross-functional product teams collaborating with product managers, domain experts, data scientists, and engineers to deliver scalable AI solutions in enterprise settings.
Demonstrated ability to independently take AI solution components from problem framing through production, evaluation, and iteration with strong product sense and technical judgment.
Practical knowledge of modern AI application patterns, including AI-assisted development tools, AI standards (e.g. MCP), cloud platforms (Azure, AWS), and enterprise AI platform architectures.