ML/AI Engineer
Description
Our client, one of Asia-Pacific’s leading organizations is looking for:
ML/AI Engineer
Responsibilities:
- Design, develop and deploy AI/ML applications and Agentic AI solutions.
- Build AI agents using LLMs, LangGraph, CrewAI or equivalent frameworks.
- Integrate AI solutions with enterprise databases, APIs and cloud platforms.
- Develop scalable Python applications, AI workflows and automated pipelines.
- Implement AI model evaluation, monitoring, CI/CD and security controls.
Requirements:
- Degree in Computer Science, Artificial Intelligence or a related discipline.
- 3–5 years of experience developing and deploying ML/AI applications.
- Strong proficiency in Python, APIs and Software Engineering.
- Hands-on experience with LLMs, Agentic AI, AI Orchestration and AI/ML Deployment.
- Must have deployed at least one LLM-enabled application into production.
- Experience integrating AI solutions with cloud platforms and enterprise systems.
- Knowledge of AWS, PySpark, Docker, MLOps or CI/CD is advantageous.
-----------------------------------------------------------------------------------------------------------------------------------
Interested applicants can also email CV at jagveer@nsearchglobal.com (for faster processing, please state the exact job / position title applied “ML/AI Engineer"
Only shortlisted candidates will be notified.
-----------------------------------------------------------------------------------------------------------------------------------
EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615
By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.
