Junior Software Engineer - AI/ML

HCL SINGAPORE PTE. LTD.

Singapore

On-site

SGD 45,000 - 75,000

Full time

14 days+
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Job summary

HCL SINGAPORE PTE. LTD.

in Singapore seeks fresh graduates to join our AI & Machine Learning Engineering team, working on cutting-edge AI, ML, and Generative AI solutions that transform how financial institutions interact with data, knowledge, and clients. You will design, develop, and deploy ML/DL models, NLP solutions, and Retrieval-Augmented Generation apps, while collaborating with data scientists and engineers to deliver AI-driven products.

Qualifications

  • Bachelor’s degree in Computer Science/Computer Engineering / Information Technology.
  • Strong academic background with a passion for AI, Machine Learning, and emerging technologies.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Design, develop, and deploy Machine Learning and Deep Learning models for real-world business problems.
  • Build and enhance NLP solutions, including Sematic Search and knowledge retrieval systems.
  • Develop and optimize Retrieval-Augmented Generation (RAG) applications using enterprise knowledge sources.
  • Contribute to the development of Foundation Models and Large Language Model (LLM) solutions.
  • Build and enhance Agentic AI solutions leveraging modern AI orchestration frameworks.
  • Support scalable MLOps pipelines for automated deployment, monitoring, and lifecycle management of AI models.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products and services.
  • Participate in AI model evaluation, performance optimization, testing, and continuous improvement initiatives.
  • Contribute to AI governance, responsible AI practices, and model reliability initiatives.

Skills

Python
SQL
NLP
ML & AI
Communication
Teamwork

Education

Bachelors degree in CS/CE/IT

Tools

Jupyter
Git

Job description

We are seeking passionate and highly motivated Fresh Graduates to join our AI & Machine Learning Engineering team. This role offers an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning, and Generative AI solutions that help transform how financial institutions interact with data, knowledge, and clients.

Responsibilities
  • Design, develop, and deploy Machine Learning and Deep Learning models for real-world business problems.
  • Build and enhance Natural Language Processing (NLP) solutions, including Semantic Search and intelligent knowledge retrieval systems.
  • Develop and optimize Retrieval-Augmented Generation (RAG) applications using enterprise knowledge sources.
  • Contribute to the development of Foundation Models and Large Language Model (LLM) solutions utilizing proprietary business data.
  • Build and enhance Agentic AI solutions leveraging modern AI orchestration frameworks.
  • Support the implementation of scalable MLOps pipelines for automated deployment, monitoring, and lifecycle management of AI models.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products and services.
  • Participate in AI model evaluation, performance optimization, testing, and continuous improvement initiatives.
  • Contribute to AI governance, responsible AI practices, and model reliability initiatives.
Skills Requirement
  • Bachelor’s degree in Computer Science/Computer Engineering / Information Technology or related field.
  • Strong academic background with a passion for AI, Machine Learning, and emerging technologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Willingness to learn and work in a fast-paced, collaborative environment
  • Strong analytical skills and problem-solving skills
  • Flexibility and willingness to work on different projects if required.
Technical Skills
  • Python, SQL
  • Data Structures & Algorithms
  • Machine Learning & AI
  • Natural Language Processing (NLP)
  • Transformers and Large Language Models (LLMs)
  • Generative AI, Retrieval-Augmented Generation (RAG)
  • Cloud & MLOps
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