Overview

We are looking for a highly skilled AI/ML Specialist 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, Natural Language 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 programming language 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

Interested candidates may send in their resume and cover letter directly to gem.cabria@manpower.com.sg (R1434374), stating the position as the subject title in the email.

Jireli Gem Mejia Cabria | EA License No. 02C3423 | Personnel Registration No. R1434374

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Job Description