Job Description

Why Choose iHub?

--------------------

#

If You Have an Idea,

We Want to Hear It

Be empowered to spearhead change. Spot an area you are keen on improving? Go htmlFor it! Have an innovative solution you want to try out? Tell us more about it! At iHub, we value creativity and readily invest in our team's ideas.#

Career Escalator

Drive your career vertically in one field, horizontally into a different department, or branch out into a completely new unit (Yup! That has happened before). As strong believers in continuous growth, we support and reward personal improvement. Speaking of growth, we also regularly sponsor our staff to take courses and build up their skillsets. Join us and go from stale to scale in your career journey today.#

Never Boxed In

Logistics is an essential industry that plays a major role in the success of other businesses. Here, you'll get to work with a myriad of brands from various industries so you're never really limited to just one field. Our clients range from cult beauty brands to multinational technology companies, all of which you might just get to work closely with! Logistics is here to stay so there's never a boring day.#

Not Your Average

Braindead Workplace

We hate mundane work just as much as you do. Instead, we like to keep things interesting and leave the boring stuff htmlFor the robots to work on. Tinkering with Artificial Intelligence on one day and testing out a robot on the next, there is always something new brewing in the office.

Our Core Values

-------------------

Continuous Learning

Responsibility

Integrity

Customer Excellence

Teamwork

Employee Care

Write to us at hr@ihubsolutions.com or contact us on +65 62648289

Artificial Intelligence and Machine Learning Engineer (Mid-Senior)

Job Scope:

Own the Production ML Lifecycle:

Design, build, deploy, and monitor end-to-end machine learning models.

Build for Integration:

Own the technical integration of ML models with existing systems, building and scaling robust, production-ready services (e.g. APIs).

Act as a Senior Technical Partner:

Develop project strategy, conduct mutual code reviews, and establish best practices for production-grade code.

Cross-Functional Collaboration:

Work closely with IT, Operations, and other teams to define clear technical requirements, manage dependencies, and deliver integrated solutions.

Solve High-Value Problems:

+ Develop and implement machine learning models to improve customer satisfaction, operational efficiency, and profitability.
+ Collect, clean, and build robust data pipelines for model training.
+ Evaluate the performance of models in production and establish monitoring for data and model drift.
Job Requirements:

Bachelor's degree in computer science, data science, or a related field. 3+ years of hands-on experience in machine learning and/or software engineering, with a proven track record of deploying and maintaining ML models in production. Excellent programming skills in Python and strong proficiency in SQL. Hands-on experience building and deploying APIs (e.g., FastAPI, Flask) and using Docker. Good understanding of MLOps tools (e.g., MLflow, GitLab CI) and cloud platforms (AWS, GCP, Azure). Experience working with large datasets. Strong communication and teamwork skills. * Resourceful, curious, and able to solve problems creatively and efficiently.