AI Engineer

Percept Solutions Pte ltd

Singapore

Presencial

SGD 120.000 - 180.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Percept Solutions Pte ltd is seeking an experienced AI Engineer to join our AI and Data Department. You will drive development, deployment, and governance of AI, ML and GenAI solutions across business units to accelerate digital transformation.

You will design scalable, secure intelligent systems, lead cross-functional collaborations, and mentor teams while evaluating models like GPT, Claude, and Llama. Knowledge of Azure AI tools and ethical AI is essential.

Formación

  • Bachelor's degree in AI, Data Science, Computer Science, or related field.
  • Certifications in Azure, AI, or Data Science preferred.
  • Strong background in Azure AI stack, including MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.
  • Hands-on experience with TensorFlow, PyTorch, and Large Language Models (LLMs) like GPT, Claude, or Llama.
  • Proficiency in agentic AI, MLOps/DataOps, and API development (Type, React, Spring Boot).
  • Solid understanding of VectorDB, NoSQL, and RDBMS design principles.
  • Excellent data analysis and statistical modeling skills.
  • Knowledge of AI governance, compliance, and ethical AI frameworks.

Responsabilidades

  • Design and implement AI/ML and GenAI applications tailored to real-world business needs.
  • Identify new AI opportunities and lead advisory discussions on emerging technologies.
  • Work with cross-functional teams to design workflows, build prototypes, conduct testing, and deploy solutions.
  • Lead chatbot and process automation initiatives using Microsoft OpenAI, AI Search, and Power Platform.
  • Benchmark and evaluate models such as GPT, Claude, and Llama to ensure optimal business fit.
  • Implement and enforce data protection, AI governance, and ethical AI standards.
  • Provide ongoing support, monitoring, and optimization of deployed AI solutions.

Conocimientos

AI/ML development
GenAI/LLMs
MLOps/DataOps
API development (Type, React, Spring)
Data analysis
AI governance
Data protection
TensorFlow
PyTorch
VectorDB
NoSQL
RDBMS

Educación

Bachelor's degree in AI/Data Science/CS

Herramientas

MS OpenAI
AI Search
Form Recognizer
ADLS
Cosmos DB
TensorFlow
PyTorch

Descripción del empleo

Roles & Responsibilities

We're looking for an experienced AI Engineer to join our AI and Data Department, driving the development, deployment, and governance of cutting-edge AI, ML, and Generative AI (GenAI) solutions. In this role, you'll work closely with business and technology teams to design scalable, secure, and intelligent systems that accelerate digital transformation and enterprise AI adoption.


What You'll Do:


  • Design and implement AI/ML and GenAI applications tailored to real-world business needs.

  • Identify new AI opportunities and lead advisory discussions on emerging technologies.

  • Work with cross-functional teams to design workflows, build prototypes, conduct testing, and deploy solutions.

  • Lead chatbot and process automation initiatives using Microsoft OpenAI, AI Search, and Power Platform.

  • Benchmark and evaluate models such as GPT, Claude, and Llama to ensure optimal business fit.

  • Implement and enforce data protection, AI governance, and ethical AI standards.

  • Provide ongoing support, monitoring, and optimization of deployed AI solutions.


What You'll Bring:


  • Bachelor's degree in AI, Data Science, Computer Science, or related field.

  • Certifications in Azure, AI, or Data Science preferred.

  • Strong background in Azure AI stack, including MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.

  • Hands-on experience with TensorFlow, PyTorch, and Large Language Models (LLMs) like GPT, Claude, or Llama.

  • Proficiency in agentic AI, MLOps/DataOps, and API development (Type , React, Spring Boot).

  • Solid understanding of VectorDB, NoSQL, and RDBMS design principles.

  • Excellent data analysis and statistical modeling skills.

  • Knowledge of AI governance, compliance, and ethical AI frameworks.

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