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Kerala University of Digital Sciences, Innovation and Technology

Technopark Phase-IV Campus (Technocity), Mangalappuram, Thonnakkal PO, Trivandrum, Kerala , 695317

AI/ML Research Engineer (Job Code : AIMLRE/52025/23)

Closing Date:06,June 2025
Job Published: 23,May 2025

Brief Description

Kerala University of Digital Sciences, Innovation and Technology invites applications from qualified Indian Citizens for appointment to the following posts (on a contract basis) for the Centre for Digital Transformation & Innovation (CDTI) of the University. Candidates shall apply online through the Recruitment Portal. The guidelines for submission of applications are available in the recruitment portal.

Applications shall be submitted online latest on 06/06/2025. The application form is available at https://www.duk.ac.in/careers.

Essential Educational Qualification

M.Tech/MCA/MSc. Computer Science/Data Science/Statistics or equivalent degree from a recognized University/ Educational Institution with first-class.
Essential Experience M inimum 3 years of proven experience in AI/ML Modelling, eGovernance Projects, Data Science and Analytics in the industry/Govt/PSU.

Job responsibilities

  • Collaborate with cross-functional teams to explore and develop AI opportunities.
  • Create, test, and deploy cutting-edge AI/ML models for a variety of applications.
  • Handling Python Libraries
  • Conduct research to keep current on AI and machine learning breakthroughs.
  • Models should be optimised and fine-tuned for performance, scalability, and dependability.
  • AI solutions should be documented and communicated to both technical and non-technical stakeholders

Preferred Skills

Desirable Technical Skill

  • Proficiency in Python libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Proficiency in statistical sampling methods, index numbers, and other statistical techniques for real-world applications.
  • Experience in deploying AI/ML models using Flask or similar frameworks.
  • Familiarity with SQL and vector databases for AI applications.
  • Expertise in data preprocessing, analytics, and visualization tools like Tableau and Power BI.
  • Knowledge of generative AI techniques and their practical applications.
  • Optimization and fine-tuning of machine learning models for performance and scalability.
  • Experience in documentation and communicating AI solutions to diverse audiences.
  • Research experience to stay updated on the latest advancements in AI/ML.
  • Knowledge of API integration for real-world AI/ML applications.