Not specified (considering it might be hybrid or agile due to the nature of the role)
Strong proficiency in python
Experience with docker and kubernetes
Hands-on experience with mlops tools
Tekishub Consulting Services Pte. Ltd. is seeking an AI Engineer to join a high-impact agile team for a leading banking client, focusing on building next-generation AI and machine learning platforms. The role involves bridging experimental data science and production-ready systems through the full ML lifecycle, requiring strong technical skills and collaboration with various teams
Job Summary
You will join a high-impact agile team within the ML & AI domain to build next-generation platforms for a leading banking client.
The role involves bridging the gap between experimental data science and production-ready systems by designing scalable ML solutions and services.
You will support the development of agentic AI workflows and LLM-powered systems to enable scalable and autonomous capabilities.
Matching Summary
Match Score: 85
Tekishub Consulting Services Pte. Ltd. is seeking an AI Engineer to join a high-impact agile team for a leading banking client, focusing on building next-generation AI and machine learning platforms. The role involves bridging experimental data science and production-ready systems through the full ML lifecycle, requiring strong technical skills and collaboration with various teams.
Skills & Requirements
Must-have
Strong proficiency in Python
Experience with Docker and Kubernetes
Hands-on experience with MLOps tools
Experience working with Large Language Models
Understanding of AI agents and agentic workflows
Experience deploying models into production
Nice-to-have
Familiarity with CI/CD tools like GitLab or Jenkins
Understanding of GPU computing and cloud infrastructure
Strong foundation in statistics and linear algebra
Ability to work in a fast-paced agile environment
Excellent communication and stake management skills
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Relevant experience in machine learning, data science, or MLOps roles