AI Implementation Engineer - Global AI Company - Hong Kong

NLS Executive Search; Hong Kong; Vor Ort; HKD 900.000 - 1.200.000; Vollzeit

Zusammenfassung

NLS Executive Search is partnering with a fast-growing AI company to hire an AI Implementation Engineer in Hong Kong. You will deploy AI products into client environments, write production-grade code in Python/Go/TypeScript, and design data pipelines for massive datasets.

You'll collaborate with product and engineering teams, translate business needs into technical specs, and tackle complex distributed systems in high-stakes production environments. Travel to client sites may be required.

Qualifikationen

• 3+ years in software engineering, data engineering, or solutions architecture.
• Bachelor’s degree in CS/DS/Math or related field.
• Proficiency in Python, Go, Typescript or React.
• Experience deploying ML/LLMs in production and working with MLOps tools.

Aufgaben

• Build, deploy, and integrate AI platform into enterprise infrastructures.
• Ship production-grade code in Python, Go, and Typescript.
• Design scalable data pipelines for large datasets and ML models.
• Collaborate with client stakeholders to translate business needs into specs.
• Work with Product and Core Engineering to feed client feedback into roadmap.
• Debug distributed systems and optimize performance in production.

Kenntnisse

Python

Go

Typescript

React

Communication

Willing to travel

Ausbildung

Bachelor's degree in Computer Science, Data Science, Mathematics, or related technical field

Tools

AWS

Azure

GCP

Docker

Kubernetes

SQL

Spark

Kafka

MLflow

Kubeflow

Weights & Biases

Jobbeschreibung

Our client, a fast-growing AI company, are building next-generation machine learning platforms. They solve complex data challenges for enterprise clients and their team bridges the gap between cutting-edge AI research and real-world industrial impact.

As an AI Implementation Engineer, you will operate at the intersection of software engineering, data science, and client strategy. You will deploy their AI products directly into client environments. You will write production-grade code, design data pipelines, and customize AI models to solve the client's most pressing business problems. This role requires a blend of deep technical expertise and strong communication skills.

The role:

• Build, deploy, and integrate their AI platform into diverse enterprise cloud and on-premise infrastructures.
• Ship production-quality code in Python, Go, Typescript, to extend their core product capabilities for specific client use cases.
• Design and optimize scalable data pipelines to ingest, clean, and process massive datasets for machine learning models.
• Collaborate with client stakeholders to understand their workflows and translate business needs into technical specifications.
• Partner with internal Product and Core Engineering teams to feed client feedback back into the product roadmap.
• Debug complex distributed systems and performance bottlenecks in high-stakes production environments.

What you offer:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field.
• 3+ years of experience in a software engineering, data engineering, or solutions architecture role.
• Strong proficiency in one of the following: Python, Go, Typescript, React
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of data engineering tools (e.g., SQL, Spark, Kafka) and Git workflows.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.
• Willingness to travel to client sites as required.
• Experience deploying and fine-tuning large language models (LLMs) or traditional machine learning models in production.
• Deep familiarity with MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases).
• Past experience in client-facing technical roles, such as Technical Consulting or Solutions Engineering highly preferred.
• Knowledge of enterprise security, compliance framework standards, and data governance.

The sell:

• Chance to work with the latest AI technologies on the market and with a wide variety of technologies
• Join a very well funded firm that is on track to grow exponentially in the next few years