AI Engineer (Open for Fresh graduate)

Job Overview

Designs, integrates, and deploys Generative AI solutions leveraging LLMs, with a strong emphasis on coding, model fine-tuning, and implementing MLOps best practices.

Job Description

• Collaborate with internal business stakeholders to develop and refine analytical use cases, ensuring alignment with Analytics leads and partners.
• Contribute actively to projects of varying scope, complexity, and urgency within the insurance domain.
• Bridge the gap between business challenges and analytical solutions.
• Analyze and interpret data and models to quickly formulate, test, and iterate hypotheses.
• Prepare, structure, and present analyses and data visualizations to effectively communicate insights, findings, and recommendations to business users.
• Serve as a Machine Learning subject matter expert, supporting Data & Analytics teams and business stakeholders.
• Oversee and guide onshore and offshore analytics and data science projects.
• Plan and manage sprint activities, providing accurate effort estimates for tasks and stories.
• Ensure adherence to the company policies, procedures, and applicable regulations.
• Share expertise and contribute reusable practices, tools, and techniques within the team and across the organization.

Job Requirement:

• Holds a tertiary qualification or equivalent experience.
• Bachelor's or Postgraduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, Mathematics, or related fields.
• Experienced in generating insights from large datasets.
• Strong proficiency in Python and SQL.
• Solid understanding of computer vision, particularly using Azure Document Intelligence.
• Good knowledge of DevOps and MLOps practices.
• Familiarity with Azure Databricks (advantageous).
• Hands-on experience in collaborative programming projects.
• Comfortable working in a Linux environment.