Machine Learning Operations Engineer - Singapore - Evolution Recruitment Solutions
Description
About this role:
Machine Learning Operations Engineer (Permanent)***
UP TO 15K/Month
Our client is an
MNC in the insurance industry and they are looking for a Machine Learning Operations Engineer
with strong experience deploying AI/ML solutions.
- Handson data engineering and MLOps support for data scientists
- Designing and developing an AI/MLOps platform for AI solutions in client environments
- Oversee the AI technology roadmap for the region, and collaborating with internal technology partners and the data analytics center in the HQ
- Proactively research MLOps best practices and related technical architecture designs to ensure the team stays uptodate with the latest advancements in the field
- Design, develop, and deploy consumerfacing machine learning products, collaborate with regional team and presenting deployment solution to all partners
- Network with existing data engineering units across the globe and lead a team of junior ML engineers as the team expands
- A postgraduate degree (preferably Masters or PhD) in computer science, computer engineering, IS, IT or similar.
- Theoretical knowledge of AI, ML, and DL methods to understand the underlying concepts and be able to design, develop and deploy AI solutions.
- 3+ years of experience as a Data/DevOps engineer with a focus on deploying AI/ML solutions to production in a DevOps environment with knowledge of CI/CD pipelines (e.g., Azure DevOps).
- Experience designing machine learning platforms and data pipelines at scale, using Kubernetes (including network security policies, certificate management, RBAC, Helm), CI/CD automation, Docker, and microservice architecture.
- Ability to write robust code for deployable services in Python, along with experience developing ETL data pipelines (using AirFlow, Azure DataFactory).
- Experience deploying cloud infrastructure, preferably using Azure.
- Experience of conducting UAT and knowledge of testing methodologies.
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