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If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together.
Job Title: AI Engineer
Work Location: Client Site – Kuala Lumpur, Malaysia
Employment Type: On-rolls with Aptude
Experience Required: Min 4 Years
Nationality: Open to all nationals
Primary:
Responsibilities:
- Support the implementation and enhancement of the AI and analytics platform, including infrastructure-as-code setup and automation using Terraform or AWS CDK. Ensure alignment with existing cloud architecture and data infrastructure.
- Manage the full lifecycle of AI/ML models using the established platform—covering pre-trained model importation (if applicable), training, evaluation, deployment, monitoring, inference execution, and integration of outputs into downstream applications and automation workflows.
- Involve in the end-to-end vendor evaluation and procurement process (e.g., RFI, RFP, vendor selection, due diligence) to Implement and adapt third-party AI solutions and assets within the GIMB local environment, ensuring alignment with organizational architectural principles, established AI governance frameworks, and relevant technical standards.
- Develop and/or integrate generative AI solutions, such as AI chatbots and agents with pretrained or finetuned LLM models, into operational workflows to enhance automation and user interaction.
- Implement or enhance the automation of core insurance operations. Specific areas include:
- data capture and verification from documents (e.g., using OCR and data extraction).
- automated adjudication, eligibility checks, and benefit calculations.
- fraud detection capabilities using ML and analytics.
- workflow automation for processes like claims assessment, payment initiation, notifications, and underwriting.
- Collaborate with data engineers, business analysts, and stakeholders to understand requirements, and integrate AI model outputs into business processes and reporting applications.
- Support the implementation of AI governance framework to ensure that AI solutions adhere to ethical standards, data privacy regulations, model explainability, and responsible AI practices.
- Lead the development and implementation of ground truth datasets and labeling processes to ensure high-quality data for training, evaluating, and monitoring AI/ML models, including the compilation of performance metrics and statistical analysis to drive model improvement and business insights.
Skills required:
- 4 years and above in AI/ML engineering, data science or related fields
- Proficiency in Python and ML frameworks/algorithms (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow, Langchain)
- Proficiency in generative AI and LLM-related techniques (e.g., natural language processing, model fine-tuning) with familiarity in LangChain, LlamaIndex, or other LLM handling frameworks.
- Expertise in designing and deploying solutions on AWS or other cloud platforms
- Understanding of MLOps concepts (CI/CD and statistical monitoring)
- Familiarity with event-driven and serverless architectures (AWS Lambda/Fargate)
Why Join Us?
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Work with a global technology leader and gain experience in cutting-edge projects.
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Be part of a diverse and inclusive work environment.
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Opportunity to work on critical cloud transformation initiatives.
If you are passionate about technology and want to be part of a high-impact team, we invite you to apply and explore this exciting opportunity with us! Please share your updated resume with [email protected]
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