AI Developers (2 years contract | up to 8000 | Public Sector)

BGC Group Pte Ltd; Singapore; On-site; SGD 81,000 - 97,000; Full time

Job summary

BGC Group Pte Ltd is seeking an AI Developer to design and deploy AI/ML solutions using Generative, Agentic, and Traditional AI.You will work on LLM chatbots, forecasting, NLP, and OCR, delivering scalable pipelines and robust API integrations.

Collaborate with business users, data scientists, and engineers; containerise models for CI/CD and ensure DevSecOps compliance across Windows and Linux environments.

Qualifications

• Bachelor’s or Master’s degree in CS, Math, Statistics, or related field.
• At least 2 years of AI/ML model development and deployment experience.
• Strong knowledge of AI/ML Ops practices and tools.
• Experience with API integration and data pipelines.
• Proficiency with TensorFlow, PyTorch, or Hugging Face Transformers; Python or Node/Java.

Responsibilities

• Collaborate with business users, data scientists, developers and engineers to deliver AI/ML products for chatbots, forecasting, NLP and OCR.
• Design, build and test scalable AI/ML pipelines for data preprocessing, model training, RAG, evaluation and deployment.
• Integrate AI/ML products into applications via APIs and microservices.
• Work with DevSecOps to containerise models and support CI/CD workflows.
• Apply code reviews and test-driven development practices.

Skills

AI/ML development

Python

API integration

MLOps

DevSecOps collaboration

Docker

LangChain

Education

Bachelor’s or Master’s in Computer Science / Mathematics / Statistics

Tools

Azure AI

Google Vertex AI

AWS SageMaker

Elasticsearch

Vector databases

Semantic search

OpenShift

Jira / Asana / Smartsheet

Job description

Job Title: AI Developer

Duration: 2 years
Nearest MRT: Redhill Station
Salary Package: up to 8000 + Benefits + Bonuses (AWS-Loyalty Bonus-Performance Bonus)

We are looking for?

AI developers to develop and deploy/integrate AI/ML products (Using Generative, Agentic & Traditional AI)

What you will do?

• Collaborate with business users, data scientists, developers and engineers to develop and deliver AI/ML products for LLM chatbots, forecasting, NLP and OCR, agentic AI use cases.
• Research, design, build and test scalable AI/ML (Traditional, Generative, Agentic) pipelines and system for data preprocessing, model training, RAG, evaluation and deployment to serve automate decision making and generate insights.
• Integrate AI/ ML products into applications using APIs (e.g. RESTful) and microservices (e.g. implemented with FAST).
• Work with DevSecOps team to containerise AI/ML models (e.g. OCI-compliant container, Red Hat UBI) and support CI/CD workflows.
• Adopt proven software engineering practices such as code reviews and test-driven development.

You must have,

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
• At least 2 years of relevant working experience in AI/ML model development and deployment
• Strong understanding of AI/ML Ops practices and tools like, enterprise project management platforms (e.g., MS Project, Smartsheet, Jira, Asana, or custom PM systems), AI/ML frameworks (e.g., Azure AI, Google Vertex AI, AWS SageMaker), API integration and data pipeline tools, and search technologies (e.g., Elasticsearch, vector databases, semantic search).
• Proven experience in designing and implementing AI/ML solutions in enterprise systems (especially NLP, rule engines, predictive analytics), workflow automation, system integration, data modelling, intelligent assistant or chatbot development (e.g., using LLMs, RAG architectures).
• Strong proficiency and hands on experience in large language models, agent frameworks (e.g. LangChain or similar), prompt engineering, API integration, and knowledge of model evaluation, orchestration, and production deployment practices.
• Experience with working with DevSecOps teams in deploying (and troubleshooting) AI solutions using various tools and platforms, including containers via tools such as Redhat Openshift Container Platform and Docker.
• Knowledge of GPU cluster architecture and ability to optimise workloads such as LLM inferencing in both Windows and Linux environments is a plus.
• Understanding of project lifecycle management, governance, and compliance frameworks (e.g., QMS, GxP, ISO standards) is a plus.
• Strong proficiency in Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers) and coding in either Python, Node.JS, Java.
• Proficiency in web application development is a plus. E.g. Proficiency in Svelte or other node related frameworks for the frontend. Experience implementing UI elements with Figma.
• Ability and the drive to learn new programming languages/frameworks, techniques and to work closely with different groups of users, external contractors and/or subject matter experts.