AI Engineer

2 days ago

Klang, Selangor, Malaysia Big Pharmacy Healthcare Sdn Bhd Full time $60,000 - $120,000 per year

Key Responsibilities:

A) AI Solution Development and Automation

  • Drive the organization's AI initiatives through the design and implementation of intelligent systems and automation solutions.
  • Identify opportunities where AI can add business value and optimize existing processes

B) Data Management and Preparation

  • Oversee the entire data pipeline, from data collection and cleaning to preprocessing and storage.
  • Ensure data integrity, consistency, and accessibility for machine learning and AI applications.
  • Collaborate with data engineers and analysts to create scalable and efficient data architectures.

C) Model Training, Evaluation, and Deployment

  • Train, validate, and fine-tune machine learning models for optimal performance.
  • Evaluate models using appropriate metrics and perform error analysis to improve accuracy.
  • Deploy AI models into production environments and integrate them with existing applications or business systems.

D) Integration and Maintenance

  • Work with software development teams to integrate AI solutions into broader IT systems and enterprise platforms.
  • Continuously monitor AI systems in production, ensuring performance stability, fairness, and reliability.
  • Troubleshoot issues and retrain models as new data becomes available.

E) Cross-Functional Collaboration

  • Collaborate with business stakeholders, project managers, and engineers to define AI strategies that align with organizational objectives.
  • Translate business challenges into technical solutions and communicate results effectively to non-technical audiences.

F) Research, Innovation & Application in Digital Health Space

  • Stay current on the latest developments in AI, machine learning, and generative AI.
  • Explore and experiment with emerging technologies (e.g., LLMs, transformers, reinforcement learning).
  • Recommend new tools, techniques, and frameworks to enhance productivity and innovation in the digital health space

G) AI Ethics and Governance

  • Implement ethical and governance frameworks for responsible AI use.
  • Ensure transparency, fairness, and explainability in AI systems.
  • Address data privacy, bias mitigation, and security issues in model development and deployment

H) Technical Leadership and Mentorship

  • Provide technical guidance to team members in AI, data science, and automation projects.
  • Conduct knowledge-sharing sessions and code reviews to promote best practices.
  • Foster a culture of continuous learning within the MIS or data team.

Job Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Prior experience deploying AI or ML models into production environments. Understanding of MLOps, DevOps, and CI/CD for machine learning pipelines. Knowledge of AI ethics, compliance, and responsible AI frameworks.
  • Strong proficiency in Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of data management tools (SQL, Spark, Hadoop, Airflow). Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI/ML deployment.
  • Analytical and problem-solving mindset. Excellent communication and collaboration abilities. Ability to manage multiple projects and meet deadlines. Passion for innovation and continuous learning.

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