AI & Cloud Data Engineer (PySpark + GenAI)

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.