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Software Engineer

Software Engineer

RAZER MERCHANT SERVICES SDN. BHD.Petaling Jaya, Selangor, Malaysia
13 jam yang lalu
Penerangan pekerjaan
  • Architect and implement AI / ML algorithms to boost IT operational efficiency and resilience.
  • Develop scalable AI platforms for predictive analytics and proactive system optimization.
  • Deploy machine learning models for automated incident resolution and operational intelligence.
  • Build advanced data analytics system to extract actionable insights from big data.
  • Create interactive dashboards for real-time monitoring of key operational metrics and trend analysis.
  • Formulate data strategies to maximize value and drive continuous IT improvement.
  • Identify and implement RPA solutions to automate repetitive tasks and streamline workflows.
  • Collaborate with cross-functional teams to integrate AI, data analytics, and RPA for enhanced IT operations.
  • Demonstrate strong interpersonal and communication skills to effectively engage both technical and non-technical stakeholders.
  • Flexibly adapt to additional tasks and evolving priorities, ensuring alignment with organizational goals.
  • Requirements

    • Bachelor's degree in Computer Science, IT, or a related field; 3+ years of relevant experience.
    • Proficiency in at least two programming languages / frameworks (e.g., Python with Django, PHP with Laravel, or LangGraph for AI orchestration).
    • Expertise in data preparation, model training, and big data analytics using tools such as Kafka, Anaconda, and Jupyter Lab.
    • Strong experience with advanced AI / ML techniques, including LLM fine-tuning, reinforcement learning, and generative AI frameworks (e.g., Hugging Face Transformers, LangChain).
    • Experience with vector databases and retrieval-augmented generation (RAG) techniques for AI-driven applications.
    • Hands-on experience with RPA technologies (e.g., Automation Anywhere 360, RPA Bot frameworks) and AI / ML solution development.
    • Solid experience with relational and NoSQL databases (e.g., MySQL, MariaDB, CouchDB, Redis) and SQL.
    • Familiarity with version control (Git), Agile methodologies, and CI / CD pipelines.
    • Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker).
    • Exposure to AIOps practices, including model deployment, monitoring, and automated retraining using tools like MLflow, Kubeflow, or Vertex AI.
    • Strong analytical, problem-solving, and communication skills, with a proven ability to collaborate effectively in cross-functional teams.
    • Ability to work independently, manage multiple projects, and adapt in a dynamic environment.
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