1. Background
SmartGen Solutions Pte Ltd is a fast-growing small and medium-sized enterprise (SME) specializing in software solutions, particularly for the logistics and port management sector in Singapore.
2. Market Analysis - Software Engineer (AI & Data Analytics)
The market for Software Engineers specializing in AI and Data Analytics is highly competitive, particularly in Singapore's thriving technology sector.
Mean Salary Range (Singapore)
Salaries for AI & Data Analytics Software Engineers vary significantly with experience.
Challenges for SMEs
Hiring in a competitive landscape presents unique hurdles for smaller companies.
High competition from larger tech companies offering higher salaries and more comprehensive benefits.
Perception of career limitations or lack of brand recognition compared to multinational corporations.
Attracting candidates with niche skills, who are in high demand and short supply.
3. Talent Acquisition Plan
The strategic plan focuses on leveraging multiple channels and government support to build a robust talent pipeline.
I. Talent Acquisition Strategies
The overall strategy is to establish SmartGen Solutions as an employer of choice by focusing on a strong employer brand, leveraging government support, and building a pipeline of future talent.
II. Strategic Hiring and Innovate Existing Business Processes
The plan aligns talent acquisition with business objectives, hiring people who can contribute to business innovation and growth.
III. Leveraging on Government Grants: Developing Internal Talent Pipeline
The company will leverage schemes like the SkillsFuture Career Transition Programme to upskill existing employees and attract mid-career professionals.
IV. Leveraging on Location: Existing Opportunities
SmartGen's location provides opportunities to partner with nearby educational institutions to offer internships and apprenticeships.
V. Recruitment: Overview of Strategies and Expected Outcomes
The multi-pronged strategy is expected to yield significant results in headcount growth and talent quality.
60% of target headcount achieved (18/30 current employees are software engineers, need 12 more)
To meet the company's needs for expanding into new markets and projects.
VI. Recruitment: Role Definition and Candidate Mindset
Clearly defining the role and the ideal candidate mindset is a critical first step. The plan emphasizes curiosity, growth mindset and collaboration.
VII. Recruitment: Sourcing Channels
A mix of online and offline channels will be used to reach a wide talent pool. This includes:
- Online Job Boards (e.g., JobStreet, MyCareersFuture)
- Professional Social Networks (e.g., LinkedIn)
- University and Polytechnic Career Fairs
- Employee Referral Programs
VIII. Recruitment: Manatal - The Recommended ATS
To streamline the recruitment process, the use of an Applicant Tracking System (ATS) is recommended. Manatal is suggested for its user-friendly interface and robust features.
IX. Recruitment: Background and Verification Checks
Thorough background and verification checks are essential to ensure the integrity of the hiring process and to mitigate risks.
X. Recruitment Timeline
A clear timeline is established to manage expectations and ensure a timely process from sourcing to onboarding.
XI. Interview and Selection
The interview process is designed to be comprehensive, involving multiple stages to assess both technical and soft skills.
4. Job Description (Software Engineer - AI & Data Analytics)
A detailed and compelling Job Description is crucial for attracting the right talent. The JD focuses on technical skills, collaboration and product-minded thinking.
Key Responsibilities
- Designing and developing machine learning models and data pipelines.
- Collaborating with product teams to integrate AI solutions into products.
- Analyzing complex datasets to extract actionable insights.
- Maintaining and optimizing data infrastructure for performance.
- Staying updated with the latest advancements in AI, machine learning, and data analytics.
Required Skills & Qualifications
Technical Skills
- Python
- TensorFlow/PyTorch
- SQL
- AWS/GCP/Azure
- Big Data Technologies
Soft Skills
- Problem-Solving
- Communication
- Teamwork
- Adaptability