Machine Learning Engineer

HCLTech; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

HCLTech in Singapore is seeking a skilled machine learning engineer to join an agile development team in the ML & AI field, designing and maintaining robust AI solutions within a DevOps environment.

You will collaborate with platform teams, data engineers, and data scientists to develop, deploy, and optimize ML models, including LLMs, and build multi-agent systems with function-call capabilities to solve complex enterprise challenges.

Qualifications

• Bachelor's degree in data science, CS, math, stats or related field.
• Experience with Python and ML libraries (TensorFlow or PyTorch).
• 3-6 years of relevant work experience in ML/data science or related field.
• Proven experience working with Large Language Models (LLMs).
• Knowledge of AI agents, agentic workflows, LLM orchestration frameworks and reasoning patterns.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Understanding of statistics, probability, linear algebra, and optimization.
• Familiarity with software development practices including version control, testing, and documentation.

Responsibilities

• Develop, deploy, and optimize ML and AI solutions for business challenges.
• Build multi-agent systems with function/tool-calling capabilities.
• Design and implement RAG systems grounded in enterprise data.
• Assess and integrate AI models, including LLMs, for reliability.
• Collaborate with platform teams and data scientists to integrate solutions.
• Participate in code reviews, testing, and debugging to ensure quality.

Skills

Python programming

Strong problem-solving

Communication skills

Cross-functional collaboration

Time management

Continuous learning

Education

Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, or related field

Tools

TensorFlow

PyTorch

LLM orchestration frameworks

Git version control

Data preprocessing tools

Job description

We are seeking a skilled machine Learning engineer (ML Eng) to join one of our agile development teams in our ML & AI field. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment.

Responsibilities

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions
• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Skills Requirement

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, or a related field
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• 3 -6 years of relevant work experience in machine learning, data science or a related field
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Understanding software development best practices, including version control, testing, and documentation
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively.