AI Ops Engineer (Team Lead)

TG HUMAN RESOURCE MANAGEMENT SERVICES SDN BHD; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A human resource management company in Kuala Lumpur is seeking an experienced AI/ML Developer. In this role, you'll develop automation scripts, implement web APIs, conduct data analysis, and design AI models. Candidates must have a Bachelor's degree in Computer Science or a related field and at least 2 years of experience with deep learning libraries such as TensorFlow or PyTorch. Strong Python skills and familiarity with MLOps and Generative AI tools are essential. This position offers a competitive package in a dynamic environment.

Qualifications

• Minimum of 2 years of experience in a related field.
• Eagerness to explore and implement ML and deep learning models.
• Familiarity with the model lifecycle from training to deployment.

Responsibilities

• Develop automation scripts to streamline workflows and processes.
• Conduct data analysis and derive actionable insights.
• Support model deployment, monitoring, and performance optimization.

Skills

Deep Learning libraries expertise

NLP and vision tasks experience

Strong Python programming

Version control using Git

RESTful API integration

Familiarity with Generative AI tools

Education

Bachelor’s in Computer Science or related field

Tools

TensorFlow

PyTorch

Transformers

Keras

MLOps tools (e.g., Dataiku, MLflow)

Docker

Job description

Contract

4mo ago, from TG HUMAN RESOURCE MANAGEMENT SERVICES SDN BHD

Responsibilities

• Develop automation scripts to streamline workflows and processes.
• Design and implement web APIs and basic user interfaces for AI applications.
• Build web scrapers for data extraction from public sources.
• Research and evaluate state‑of‑the‑art (SOTA) ML/GenAI literature and integrate findings into practical solutions.
• Design and build AI/ML models
• Build Image classification and object recognition
• Build NLP tasks (e.g., sentiment analysis, text summarization, LLM fine‑tuning)
• Build Generative AI tasks such as text generation, embeddings, or prompt engineering
• Convert trained models into scalable APIs or services.
• Conduct data analysis, interpret results, and derive actionable insights.
• Support model deployment, monitoring, and performance optimization.

Job Requirements

• Minimum Bachelor’s in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 2 years of experience related
• Experience in Deep Learning libraries (e.g., TensorFlow, PyTorch, Transformers, Keras)
• Experience in NLP and vision tasks
• Experience in Version control using Git
• Experience in RESTful API integration
• Strong Python programming foundation with a focus on clean, efficient code.
• Eagerness to explore and implement ML, deep learning, and GenAI models.
• Familiarity with model lifecycle from training to deployment
• Familiarity with Generative AI functions, tools and frameworks (e.g., OpenAI, Hugging Face Transformers, LangChain, RAG)

Good to Have

• Experience with MLOps tools or platforms (e.g., Dataiku, MLflow, FastAPI).
• Understanding of learning paradigms: supervised, unsupervised, reinforcement learning.
• Familiarity with containerization tools (Docker, Podman) and cloud environments.
• Basic knowledge of UI/UX or front-end integration for AI tools.