New Era Technology

Senior AI Engineer / AI Engineer

New Era Technology
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9 hours ago
Kuala Lumpur, MalaysiaEntry Level / Senior

Responsibilities

  • Design, build, deploy, monitor, and integrate custom ML models and generative AI services across their full lifecycle.
  • Develop LLM-based extraction, classification, document analysis, RAG, chatbot, OCR, computer vision, fraud detection, and insurance automation solutions.
  • Build and enhance AWS-native serverless AI and data-processing pipelines using Terraform and services such as Lambda, API Gateway, Step Functions, and SageMaker.
  • Implement CI/CD, container workflows, model registration, monitoring, drift detection, structured logging, dashboards, alarms, and SNS notifications.
  • Senior engineers own solution architecture, technical decisions, design and code reviews, mentoring, and delivery of initiatives from concept to production.
  • Junior engineers implement well-scoped workstreams under established designs and guidance from senior engineers.
  • Support vendor evaluation, third-party integrations, enterprise platform integrations, and collaboration with data engineers, business analysts, and business stakeholders.
  • Follow AI governance and Responsible AI requirements, including risk assessments, model registry maintenance, prompt and model documentation, human-in-the-loop quality control, and data-privacy controls.

Requirements

  • Python proficiency and experience with ML frameworks or algorithms such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • Experience with or knowledge of generative AI, LLM techniques, prompt engineering, structured extraction, RAG, embeddings, and hosted models such as Anthropic Claude and Amazon Bedrock.
  • Experience building or deploying on AWS using services including Lambda, API Gateway, Step Functions, SageMaker, Bedrock, Textract, DynamoDB, S3, ECR, CloudWatch, VPC, and IAM.
  • Experience or exposure to Terraform, serverless and event-driven architectures, Docker, Git-based CI/CD, and GitHub Actions.
  • Understanding of ML lifecycle operations, including training, deployment, model registration, monitoring, and drift detection.
  • Senior candidates require solution architecture ownership, mentoring, and design and code review experience.
  • Preferred qualifications include custom ML operations, OCR and document intelligence, computer vision, vector search with pgvector, Amazon Redshift, pytest, Hypothesis, fast-check, SAST or dependency scanning, OpenAPI, FastAPI, React, Vite, MUI, Responsible AI, LLM guardrails, and relevant AWS certifications.
  • Malaysian nationality is preferred, and candidates able to join immediately through a 60-day notice period are preferred.

Benefits

  • Full-time permanent employment deployed at a client location in Shah Alam, Selangor, Malaysia.
  • Work is based at the client location in Kuala Lumpur, Malaysia.
  • The company offers competitive benefits, continuous training, professional development, and access to industry-certified experts.
  • The role is supported by a team-oriented, collaborative, and inclusive workplace culture.

Tech Stack

Amazon DynamoDBAmazon RedshiftAWSDockerFastAPIGitHub ActionspytestPythonPyTorchReactscikit-learnTensorFlowTerraformXGBoost
New Era Technology

About New Era Technology

1,001-5,000 employees

New Era Technology provides managed IT and communications services—collaboration/UC, data networking, cloud (CloudBlu), cybersecurity (SecureBlu), physical security, and ongoing managed/professional services—for enterprises, healthcare, education, finance, and government. The privately held company, headquartered in West Chester, PA, operates across the Americas, EMEA, and APAC and implements multi-vendor solutions as a Cisco, Avaya, Palo Alto, Fortinet, Crestron, and Polycom partner.

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