AI/ML Engineer | Contract | Financial Services

Manpower Staffing Services (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Manpower Staffing Services (Singapore) Pte Ltd seeks a skilled AI/ML professional to design and deliver scalable solutions addressing real-world business challenges in Singapore.

You will join a high-performing cross-functional team covering Generative AI, NLP, personalization, and predictive analytics, from problem framing to scalable deployment while shaping the organization's AI strategy.

Qualifications

• Master's or PhD in CS, Engineering, Maths, Stats, or related field.
• At least 3 years of hands-on AI/ML deployment experience.
• Experts in Generative AI, NLP, DL, RL, or related areas.
• Proficient in Python, Java, Scala, or Julia.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost.
• Experience with ML lifecycle tools: Airflow, Kubeflow, MLflow.
• Familiar with Docker, Kubernetes, and CI/CD.
• Knowledge of monitoring tools: Prometheus, Grafana, Elasticsearch.
• Strong software engineering practices and version control.
• Experience in Agile cross-functional teams.
• Excellent communication and stakeholder management.

Responsibilities

• Design and develop scalable AI/ML solutions across Generative AI, NLP, recommendation systems, and time series forecasting
• Build end-to-end ML pipelines from data collection to deployment
• Research state-of-the-art AI techniques to enhance solutions
• Define deployment strategies for production-grade AI systems on cloud
• Drive design discussions for scalability, reliability, and performance
• Maintain code quality, testing, and CI/CD integration
• Collaborate with product, engineering, and business teams to translate requirements
• Mentor junior team members and share knowledge

Skills

Generative AI

NLP

Deep Learning

Reinforcement Learning

Time Series Forecasting

Recommendation Systems

Analytical thinking

Problem solving

Communication

Stakeholder management

Education

Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Airflow

Kubeflow

MLflow

Docker

Kubernetes

Prometheus

Grafana

Elasticsearch

Job description

Overview

We are looking for a highly skilled AI/ML professionals to design and deliver advanced, scalable AI solutions that solve real-world business challenges.

In this role, you will be part of a high-performing, cross-functional team, driving innovation across areas such as Generative AI, NaturalLanguage Processing (NLP), personalization, and predictive analytics. You will play a key role in building end-to-end AI solutions-from problem definition and data modelling to deployment at scale-while contributing to the organization's broader AI strategy.

Responsibilities

• Design and develop scalable AI/ML solutions across domains such as Generative AI, NLP, recommendation systems, and time series forecasting
• Build end-to-end machine learning pipelines, from data collection and feature engineering to model development, validation, and production deployment
• Research and apply state-of-the-art AI techniques to enhance existing solutions and solve emerging business problems
• Define and implement deployment strategies for production-grade AI systems on cloud platforms
• Drive technical design and architecture discussions, ensuring scalability, reliability, and performance
• Maintain high standards of code quality, testing, and CI/CD integration
• Collaborate closely with product, engineering, and business teams to translate requirements into technical solutions
• Mentor junior team members and contribute to knowledge sharing within the team

Requirements

• Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
• Minimum 3 years of hands-on experience building and deploying AI/ML solutions at scale
• Expertise in at least one or more areas: Generative AI, NLP, Deep Learning, Reinforcement Learning, Recommendation Systems, or Time Series Forecasting
• Proficiency in programminglanguage such as Python, Java, Scala, or Julia
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost)
• Experience with ML lifecycle tools and platforms, such as Airflow, Kubeflow, MLflow, or similar
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Knowledge of model serving, observability, and monitoring tools (e.g., Prometheus, Grafana, Elasticsearch)
• Solid understanding of software engineering best practices, including CI/CD and version control
• Experience working in Agile environments with cross-functional teams
• Good analytical thinking, problem-solving skills, and ability to translate business needs into technical solutions
• Excellent communication and stakeholder management skills

Nice-to-Have

• Experience with cloud platforms such as AWS or GCP
• Exposure to feature stores (e.g., Feast, Hopsworks) and model formats (e.g., ONNX, PMML)
• Research background with publications or patents in AI/ML-related fields