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AI Engineer - Contract

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Onsite

AI Engineer - Contract

job expert

AI Engineer - Contract

Skills

SQL QueriesData EngineeringDockerPythonData ScienceMachine LearningAIKubernetesNLP / Natural Language Processing

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

22 September 2026

What they need


Key Responsibilities

  • Develop AI and machine learning solutions using Python.
  • Design and implement LLM, NLP, and semantic-model-based solutions.
  • Fine-tune and evaluate LLMs, including assessing model quality, performance, and failure modes.
  • Build automated AI pipelines covering training, testing, deployment, and monitoring.
  • Develop and integrate LLM-based applications and REST APIs.
  • Work with cloud platforms, containers, and scalable AI/data architectures.
  • Implement and maintain CI/CD pipelines and DevOps practices for AI workloads.
  • Work with large-scale data processing technologies such as Apache Spark.
  • Support GPU orchestration and optimize AI infrastructure and computing costs.
  • Develop solutions involving RAG, embeddings, and vector databases.
  • Apply appropriate AI safety, guardrails, and responsible AI practices.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
  • Stay updated with emerging AI technologies and incorporate relevant advancements into solutions.

Requirements

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 4+ years of relevant experience in AI Engineering, Machine Learning Engineering, Data Engineering, or a similar role.
  • Strong programming skills in Python.
  • Hands-on experience with LLMs, NLP, or semantic models.
  • Experience developing and integrating AI/LLM solutions.
  • Strong understanding of SQL and/or NoSQL databases.
  • Experience with REST APIs and backend integration.
  • Familiarity with cloud computing platforms.
  • Experience with Docker and/or Kubernetes.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with scalable data and AI architectures.
  • Strong analytical and problem-solving skills.
  • Good communication and stakeholder management skills.
  • Ability to build robust, reliable, and maintainable software.

Work Location: In person

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