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Urgent! AI Data Science Engineer Job Opening In Singapore, Singapore – Now Hiring OniGroup
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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Unlock Your AI Data Potential: Insight & Career Growth Guide
Real-time AI Data Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Data in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6931 jobs in Singapore and 6331 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in AI Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! OniGroup is currently hiring and seeking a AI Data Science Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI Data Science Engineer Jobs Singapore.
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:The average salary range for a AI Data Science Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI Data Science Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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