Data & AI Engineer

Reposted 25 Days Ago
Be an Early Applicant
Hiring Remotely in Kallang, SGP
Remote
Senior level
Cloud • Information Technology • Consulting
The Role
The AI Solutions Architect will lead AI strategy, design AI architectures, assess AI opportunities, build AI solutions, and ensure compliance with governance frameworks.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description: 

Ingram Micro is a leading technology company for the global information technology ecosystem.

With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts.

Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage set us apart.

The Data & AI Engineer is responsible for designing, developing and implementing data, analytics and Artificial Intelligence (AI) solutions to support customers' digital transformation initiatives. The role involves working closely with customers, technology partners and internal teams to develop AI use cases, build data pipelines, deploy machine learning models and integrate AI solutions into enterprise environments.

Key Responsibilities

  • Design, develop and implement Data and AI solutions for customer projects.
  • Develop and maintain data pipelines, data integration and ETL processes.
  • Build and deploy AI and machine learning models to solve business problems.
  • Develop Proof of Concepts (PoCs) and demonstrate AI use cases.
  • Integrate AI solutions with cloud platforms, enterprise applications and APIs.
  • Perform data cleansing, transformation and feature engineering.
  • Develop dashboards, reports and data visualisations where required.
  • Conduct solution testing, validation and performance tuning.
  • Prepare technical documentation and implementation guides.
  • Provide technical support during deployment and post-implementation.
  • Work with technology vendors and partners on solution development.
  • Stay updated on emerging AI, data analytics and cloud technologies.

Requirements

Education

  • Diploma or Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or related discipline.

Experience

  • 2–5 years of experience in Data Engineering, AI, Machine Learning or Analytics.
  • Experience implementing enterprise data or AI solutions is preferred.
  • Fresh graduates with relevant internship or project experience may also be considered.

Technical Skills

  • Python
  • SQL
  • Data Engineering and ETL
  • Machine Learning fundamentals
  • Large Language Models (LLMs) and Generative AI
  • Prompt Engineering
  • REST APIs
  • Git version control

Experience with one or more of the following is advantageous:

  • Microsoft Azure AI / Azure OpenAI
  • AWS AI Services
  • Google Cloud Vertex AI
  • Databricks
  • Microsoft Fabric
  • Power BI
  • Docker / Kubernetes
  • Vector Databases
  • LangChain / Semantic Kernel
  • TensorFlow or PyTorch

Soft Skills

  • Strong analytical and problem-solving skills.
  • Good communication and presentation skills.
  • Ability to understand customer business requirements.
  • Self-motivated and willing to learn new technologies.
  • Ability to work independently as well as in a team.
  • Good documentation and project coordination skills.

This role is ideal for individuals who are passionate about leveraging data and AI technologies to solve real-world business challenges while supporting organisations in their digital transformation journey.

Skills Required

  • 8+ years in solution architecture / data / AI / digital transformation
  • Strong experience in AI / ML platforms
  • Hands-on experience in deploying end-to-end AI solutions

Ingram Micro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ingram Micro and has not been reviewed or approved by Ingram Micro.

  • Strong & Reliable Incentives Feedback suggests bonus eligibility is common and commission structures can lift total earnings in sales roles. Pay is described as solid and reliably on time in many contexts.
  • Healthcare Strength Feedback suggests the health offering is comprehensive, with multiple medical options including a copay-only plan and an HSA plan with employer funding. Wellness programs, pharmacy support, and an EAP reinforce the package.
  • Retirement Support Feedback suggests retirement support includes a 401(k) with company match and automatic savings features. This provides a structured foundation for long-term savings.

Ingram Micro Insights

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The Company
HQ: Irvine, CA
27,182 Employees
Year Founded: 1979

What We Do

Ingram Micro helps businesses Realize the Promise of Technology™. It delivers a full spectrum of global technology and supply chain services to businesses around the world. Deep expertise in technology solutions, mobility, cloud, and supply chain solutions enables its business partners to operate efficiently and successfully in the markets they serve. Unrivaled agility, deep market insights and the trust and dependability that come from decades of proven relationships, set Ingram Micro apart and ahead.

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