Description

Design and implement scalable, data-driven, and intelligent solutions integrating AI capabilities into PLM, enterprise systems, and web applications.

Responsibilities

• Design end-to-end solutions leveraging AI/ML, Data Science, NLP, or Generative AI to optimize business processes and product lifecycle workflows.
• Architect and develop backend services using J2EE/Spring Boot, integrating with Elasticsearch for intelligent search and analytics.
• Work with semiconductor PLM systems (e.g., Teamcenter, Agile PLM, ENOVIA) to embed AI-driven insights into product lifecycle stages.
• Design and guide development of modern front-end applications using Angular or React for user experiences.
• Ensure AI models are productionized, including deployment, monitoring, and integration into enterprise environments.

Required Skills

• 10+ years of enterprise/solution architecture experience across AI/ML and application systems.
• Hands-on knowledge of Python, TensorFlow, PyTorch, and NLP frameworks.
• Experience with GenAI APIs (e.g., OpenAI, Azure OpenAI).
• Strong proficiency in Java, J2EE, Spring Boot, and REST APIs for microservices development.
• Exposure to PLM tools such as Teamcenter, Agile PLM, or ENOVIA.
• Experience with Elasticsearch or Solr for enterprise search and analytics.
• Proficiency in Angular or React for front-end development.
• Familiarity with cloud platforms (AWS / Azure / GCP), CI/CD, and containerization (Docker/Kubernetes).

Key Skills

Education

Any Graduate