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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