24 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Develop lightweight internal applications, conversational interfaces, analytical applications, and decision-support tools for People Analytics.
- Build APIs connecting user interfaces with data, machine-learning models, and GenAI services.
- Integrate authentication, role-based access controls, logging, error handling, monitoring, and user feedback.
- Package and deploy analytical and AI solutions into IT-managed environments and support release, rollback, and recovery activities.
- Build and maintain product-specific CI/CD pipelines and automate testing and deployment activities.
- Operationalize batch and real-time model inference and support model-serving and GenAI integrations.
- Create reusable application templates and standardize technical patterns across People Analytics products.
- Provide business-hours production support, diagnose application and deployment issues, and coordinate infrastructure incidents with IT.
- Maintain technical documentation, support runbooks, release records, and ongoing product enhancements.
Requirements
- Bachelor’s or master’s degree in computer science, software engineering, information technology, engineering, or a related field.
- Relevant professional experience in software engineering, analytics application development, DevOps, MLOps, or a related domain.
- Strong Python software-engineering skills and experience developing REST APIs with FastAPI, Flask, or equivalent frameworks.
- Experience developing internal applications with Streamlit, Dash, or similar frameworks.
- Experience with automated testing, code-quality practices, Git, version-control workflows, and CI/CD pipelines.
- Understanding of containerization and cloud deployment concepts, with experience integrating authentication and role-based access controls.
- Experience implementing logging, monitoring, alerting, and troubleshooting applications in production or controlled enterprise environments.
- Familiarity with Databricks and cloud-based data or AI services.
- Preferred experience with Azure, AWS, Azure App Service, Docker, Kubernetes, enterprise API gateways, MLflow, model-serving platforms, MLOps tools, GenAI or RAG applications, React, and enterprise identity and access-management systems.
- Ability to translate analytical requirements into maintainable technical products and collaborate effectively in global, matrixed organizations.
- Preferred experience working with sensitive or employee-level data and internal data, analytics, or AI products.
Benefits
- The role is based in Bangalore, with collaboration alongside local and global stakeholders.
- The position offers the opportunity to build AI-enabled People Analytics products within Philips’ central People Intelligence organization.
Categories
About Philips
Philips builds medical imaging, patient monitoring, image-guided therapy, and connected-care software and devices for hospitals and clinicians, plus select personal health products. Revenue comes from hardware, software, and services, including SaaS via its HealthSuite cloud. Founded in 1891 and headquartered in Amsterdam, Philips is a public company listed in Amsterdam and on the NYSE (PHG), serving health systems worldwide.