AI Engineer / AI Specialist (1-Year Renewable Contract @MidValley Southkey)

HopeRun Software Singapore Pte Ltd; Johor Bahru; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading software solutions company in Malaysia is seeking a passionate AI Engineer / Specialist to enhance its digital transformation team. This role demands skills in developing cutting-edge AI solutions, particularly in Generative AI and NLP. The ideal candidate should have a relevant degree, strong Python proficiency, and 4–6 years of hands-on experience in AI/ML. Join us to work on impactful projects, integrating AI into real-world applications. Competitive salary and an innovative work environment await you.

Benefits

Continuous learning opportunities

Competitive salary

Innovative work environment

Qualifications

• 4–6+ years of experience in developing and deploying AI/ML solutions.
• Proficient in Python and handling ML frameworks.
• Solid knowledge in machine learning and generative models.

Responsibilities

• Design and optimize AI/ML models for use cases.
• Implement and fine-tune generative AI models.
• Deploy AI models into production environments.

Skills

AI/ML model development

Problem-solving

Team collaboration

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

We are seeking a passionate and highly skilled AI Engineer / Specialist to join our growing digital transformation team. This role focuses on developing, deploying, and scaling cutting-edge AI solutions — especially in the areas of Generative AI, Natural Language Processing (NLP), Computer Vision (CV), and Large Language Models (LLMs).

The ideal candidate is a creative problem-solver who can work cross-functionally with researchers, software engineers, and stakeholders to bring AI ideas to life through real-world applications.

Key Responsibilities:

AI Development & Deployment

• Design, build, and optimize state-of-the-art AI/ML models for real-world use cases (e.g., NLP, CV, ASR, predictive modeling).
• Implement and fine‑tune generative AI models (e.g., GANs, VAEs, Diffusion Models, LLMs) for creative applications such as text generation, image synthesis, and knowledge summarization.
• Translate academic AI/ML research into production‑ready, scalable code.

Technical Implementation

• Deploy AI models into production environments using cloud and on‑premise infrastructure.
• Collaborate on system architecture to ensure seamless integration of AI capabilities into platforms and applications.
• Utilize MLOps tools and best practices to automate and monitor model lifecycle (training, inference, retraining).
• Participate in solutioning sessions with stakeholders, project teams, and customers to propose AI‑driven enhancements.
• Work closely with front‑end/back‑end developers, data engineers, and DevOps for full‑stack implementation.
• Provide mentorship to junior engineers and contribute to technical knowledge sharing.

Technical Skills & Requirements:

Core Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• 4–6+ years of experience in developing and deploying AI/ML solutions.
• Proficient in Python, and hands‑on with TensorFlow, PyTorch, or similar frameworks.
• Solid knowledge in machine learning, deep learning, and generative models (e.g., GPT, BERT, DALL·E, Stable Diffusion).
• Experience with REST APIs, JSON/XML, and integrating models into web‑based systems.

Preferred Skills:

• Familiar with OCR, speech recognition, image recognition, knowledge extraction, and transformer‑based models.
• Experience with LLM prompting, embedding, retrieval‑augmented generation (RAG), or fine‑tuning.
• Comfortable with containerization tools such as Docker, Kubernetes, and CI/CD pipelines.
• Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Alibaba Cloud.

Interpersonal & Soft Skills:

• Strong communication and teamwork abilities across multi‑cultural, cross‑functional teams.
• Excellent analytical, debugging, and problem‑solving skills.
• Self‑motivated with a passion for continuous learning and innovation in AI technologies.
• Able to work independently, and under pressure, while meeting tight deadlines.
• Proactive mindset in exploring and evaluating new AI technologies for business value.

Added Advantages:

• Experience working on Supply Chain, SCM solutions, or enterprise AI applications.
• Familiarity with Agile development practices and DevOps methodologies.
• Exposure to tools like Jira, Confluence, SVN/Git, SonarQube, Jenkins, Eclipse/VSCode.
• Contributions to open‑source AI projects or published research papers.