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AI Data Science Engineer Job Opening In Singapore, Singapore – Now Hiring OniGroup


Job description

Overview
OniGroup is a globally recognised Google Cloud Premier Partner, celebrated for consistently demonstrating deployment and support excellence.

We were awarded the Global Cloud Location Based Services Partner of the Year in 2018 due to our continued focus on delivering positive business impact to our clients, going beyond being just a technology provider.

If you are looking to kickstart your career in the exciting field of Artificial Intelligence and Data at a global organisation that provides a long-term career path, ongoing skills training, and exceptional learning opportunities, then OniGroup is the place for you.


The Opportunity
You will be joining a young and vibrant team of professionals in our Singapore office who have an enthusiasm for creative problem-solving while learning new skills on a daily basis.

This is a unique opportunity to work at the intersection of data science and data engineering, transforming raw data into impactful business solutions for some of the most innovative companies across the APAC region.

You will gain hands-on experience with cutting-edge AI/ML technologies like Vertex AI, BigQuery, and Generative AI models to solve real-world customer challenges.


Who You Are
This position is open to all graduates with a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related quantitative field.

We are looking for individuals who love to try new things, thrive on responsibility, and want more than just a job—but an opportunity to be part of a fun, dynamic, and forward-thinking team at the forefront of the AI revolution.


What You'll Do
Develop & Deploy AI/ML Solutions:
Assist in the end-to-end lifecycle of machine learning and AI projects, from data ingestion and feature engineering to model training, validation, and deployment on Google Cloud
AI process design:
Assist in designing how AI components can be incorporated into existing workflows or processes
Build Robust Data Pipelines:
Design, build, and maintain scalable and reliable data pipelines using services like Google Cloud Dataflow, Pub/Sub, and BigQuery to process and prepare data for analysis
Data Analysis & Insights:
Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.

Communicate your findings effectively to both technical and non-technical stakeholders
Pre-Sales & Solutioning Support:
Collaborate with senior consultants to understand client needs, contribute to technical discovery sessions, and assist in designing and scoping AI-driven solutions
Client Enablement & Support:
Help prepare and deliver technical workshops and training sessions for customers.

Provide post-implementation support to ensure the success and adoption of our solutions
Continuous Learning:
Stay up-to-date with the latest advancements in AI, machine learning, and the rapidly evolving Google Cloud ecosystem
What We're Looking For
A solid foundation in computer science, including data structures, algorithms, and software engineering principles
Foundational knowledge of machine learning concepts (e.g., regression, classification, clustering) and statistics
Excellent communication and interpersonal skills, with a passion for explaining complex technical concepts clearly
A strong interest in client-facing work and consulting
Creative thinking and a structured approach to problem-solving
A keen desire to learn, grow, and take on new challenges
A friendly, outgoing personality with the ability to thrive in a collaborative team environment
Eligibility to work in Singapore
Preferred Qualifications (Nice-to-Haves)
Proficiency in Python and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
Experience with SQL and relational/non-relational database concepts
Hands-on experience with Google Cloud Platform (GCP), particularly services like BigQuery, Vertex AI, Google Cloud Storage, or Dataflow, through internships or personal projects
Familiarity with Linux environments and shell scripting
Experience creating data visualisations using tools like Looker Studio, Tableau, or similar
An understanding of containerisation technologies like Docker
How to Apply
If you are ready to launch your career with a leading Google Cloud Partner, please apply with your CV and a brief cover letter explaining why you are interested in this role.

We look forward to hearing from you!
Job Details
Seniority level: Entry level
Employment type: Contract
Job function: Information Technology
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Required Skill Profession

Other General


  • Job Details

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Unlock Your AI Data Potential: Insight & Career Growth Guide


Real-time AI Data Jobs Trends (Graphical Representation)

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Are You Looking for AI Data Science Engineer Job?

Great news! is currently hiring and seeking a AI Data Science Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at OniGroup adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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Interview Tips for AI Data Science Engineer Job Success

OniGroup interview tips for AI Data Science Engineer

Here are some tips to help you prepare for and ace your AI Data Science Engineer job interview:

Before the Interview:

Research: Learn about the OniGroup's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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Final Thought:

To prepare for your AI Data Science Engineer interview at OniGroup, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the OniGroup's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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