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AI & Cloud Data Engineer (PySpark + GenAI)

AI & Cloud Data Engineer (PySpark + GenAI)

axrail.aiKuala Lumpur, Kuala Lumpur, Malaysia
5 hours ago
Job description

axrail.ai Federal Territory of Kuala Lumpur, Malaysia

Technical Talent Acquisition Specialist | APAC Hiring Expert

Transform Data into Intelligence with AWS & AI Innovation

At Axrail , an AWS Premier Partner in Malaysia, we're bridging data engineering with cutting-edge AI to solve real-world challenges. We're looking for a Cloud Data / AI Engineer who thrives on building scalable data pipelines , deploying AI / ML models , and unlocking insights with Generative AI .

Whether you're a fresh graduate with a passion for data or an experienced engineer ready to architect AI-driven solutions, this role lets you work with PySpark, AWS SageMaker, and the latest GenAI tools in a hybrid environment.

Join us to shape the future of data-powered decision-making !

Your Mission

As a Cloud Data / AI Engineer at Axrail, you'll :

  • Design high-performance ETL pipelines with PySpark and AWS Glue .
  • Build AI / ML models (TensorFlow, PyTorch) and deploy them at scale on AWS SageMaker .
  • Create interactive dashboards (QuickSight, Tableau) to turn raw data into actionable insights.
  • Experiment with Generative AI to revolutionize data workflows.

Key Responsibilities

  • Develop and optimize ETL pipelines for structured / unstructured data using PySpark, Glue, and Redshift .
  • Ensure data integrity, security, and scalability across all pipelines.
  • Architect cloud-based data solutions (S3, EMR, Athena) with IaC (Terraform, CDK) .
  • Train, deploy, and monitor ML models (classification, NLP, forecasting) using SageMaker .
  • Automate MLOps pipelines for continuous training and deployment.
  • Integrate GenAI tools (e.g., AWS Bedrock) for data synthesis, anomaly detection, and automated reporting .
  • Dashboard & Visualization

  • Design interactive dashboards (QuickSight, Tableau) to visualize complex datasets.
  • Collaborate with stakeholders to translate data into business insights .
  • Fine-tune PySpark jobs, SQL queries, and SageMaker endpoints for cost / performance efficiency.
  • Proactively monitor and resolve data pipeline bottlenecks .
  • Deploy and manage serverless data workflows (Lambda, Step Functions).
  • Stay ahead of AWS’s latest data / AI services (e.g., Q, SageMaker new features).
  • What You Bring

  • PySpark & AWS Glue : For large-scale ETL and data processing.
  • AI / ML Frameworks : TensorFlow, PyTorch, Scikit-learn.
  • Dashboarding : QuickSight, Tableau, or Power BI.
  • Bonus :
  • AWS Certifications (Data Analytics, Machine Learning Specialty).
  • Generative AI experience (e.g., prompt engineering, LLM fine-tuning).
  • Problem-Solver : You debug data chaos and optimize pipelines like a pro.
  • Visual Storyteller : You turn complex data into clear, impactful visualizations .
  • Team Player : You thrive in cross-functional teams (data scientists, business analysts, engineers).
  • Qualifications

  • Bachelor’s degree in Computer Science, Data Science, or related fields (or equivalent experience).
  • Fresh graduates with hands-on data / AI projects (academic or personal) are welcome!
  • Experienced candidates (3+ years) : Show us your scalable pipelines, ML deployments, or cost-saving optimizations .
  • Why Join Axrail?

  • AWS Premier Partner : Access cutting-edge AWS data / AI services before competitors.
  • GenAI Frontier : Be among the first to apply Generative AI to real-world data challenges .
  • High-Impact Projects : Solve problems for enterprise clients across industries .
  • Upskilling Support : Earn AWS certifications and learn from data / AI experts.
  • Ready to Engineer Smarter Data Systems?

    If you’re excited to merge data engineering with AI innovation , apply today!

    Seniority level

    Seniority level

    Associate

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Information Technology

    Industries

    IT Services and IT Consulting

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