AI & Cloud Data Engineer (PySpark + GenAI)

16 hours ago

Kuala Lumpur, Kuala Lumpur, Malaysia axrail Full time 80,000 - 120,000 per year

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
.

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

Data Engineering Excellence

  • 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)
    .

AI/ML & Generative AI Innovation

  • 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
    .

Performance Optimization

  • Fine-tune
    PySpark jobs, SQL queries, and SageMaker endpoints
    for cost/performance efficiency.
  • Proactively monitor and resolve
    data pipeline bottlenecks
    .

AWS & Cloud-Native Development

  • 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

Technical Skills

  • PySpark & AWS Glue
    : For large-scale ETL and data processing.
  • AI/ML Frameworks
    : TensorFlow, PyTorch, Scikit-learn.
  • Cloud Data Tools
    : Redshift, S3, EMR, SageMaker.
  • Dashboarding
    : QuickSight, Tableau, or Power BI.

Bonus
:

  • AWS Certifications
    (Data Analytics, Machine Learning Specialty).
  • Generative AI experience
    (e.g., prompt engineering, LLM fine-tuning).

Key Attributes for Success

  • Problem-Solver
    : You debug data chaos and optimize pipelines like a pro.
  • AI Explorer
    : You're curious about
    GenAI's role in data engineering
    (e.g., synthetic data generation).
  • 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).
  • 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.

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