Software Developer - AI/ML/DS (Mid-level) - #10533278


Date: 1 week ago
city: Kuala Lumpur, Kuala Lumpur
Salary: RM 7,000 - RM 10,000 per year
Contract type: Full time


Inviting local talents with mid-level experience to join us as AI Software Developers. We're looking for individuals who not only have a passion for Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) development, but also those who embody a positive and collaborative attitude, aligning seamlessly with our company culture.

The ideal candidates will be eager to work with a diverse range of AI and Data Science related projects at ModeFair.

Employment Type:

  • Basic salary ranges from RM 7,000 to RM 10,000 + EPF, SOCSO, EIS.

  • This is a full-time position under direct company payroll.

  • We are not considering part-time, contract, freelance candidates, or recruitment agency submissions for this role.

  • Work from home (within Malaysia); Candidates must be willing to actively participate in company activities on a quarterly basis.

Key Qualifications:

  • Bachelor degree in Artificial Intelligence, Computer Science, Software Engineering, or a related discipline.

  • Preferably local candidates only

  • Strong coding, maths and problem solving skills.

  • Minimum of 2 years of professional experience in AI and Machine Learning projects.

  • Candidates with personal or hobby portfolios showcasing AI/ML will receive priority consideration. Please include portfolio link(s) in your resume.

  • Demonstrates willingness, openness, and the ability to quickly learn the technology stacks used here.

  • Excellent interpersonal skills, characterized by a friendly and positive attitude towards collaboration with peers and teams.


  • Contribute to the design and implementation of machine learning algorithms for our intelligent auto-scheduling system and additional ML solutions.

  • Analyze complex datasets to extract insights, identify patterns, and influence algorithm optimization for a variety of logistical challenges (capacity & load planning).

  • Collaborate with engineering teams to ensure the smooth integration and functionality of ML models within our infrastructure.

  • Continuously evaluate and iterate on machine learning models to enhance performance based on metrics and feedback from operational teams.

  • Keep abreast of the latest developments in AI, machine learning, data science, and logistics technologies to maintain our competitive edge.

  • Communicate technical concepts and results effectively across different levels of the organization.

Our Interview Process:

Our hiring process is designed to be thorough and efficient, ensuring we find the best fit for our team. Here's what you can expect:

  1. Application Submission - Submit your application with your updated resume (include portfolios links will be a plus).

  2. Home Assessment - 5 days to complete.

  3. First Round - Technical Interview (2 hours).

  4. Second Round - Job Fit (1 hour).

  5. Job Offer - Successful candidates will receive a job offer. Please note that our salaries are fixed as stated in our job advertisements and non-negotiable.

  6. Offer Acceptance - You will have 5 days to review and e-sign the offer. Please note that if we do not receive your response within this 5-day period, the offer will be considered void.

All communications regarding the interview process will be conducted via email. Please ensure you check your email regularly, including your spam folder, as we do not communicate through WhatsApp or phone calls.

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