AI/ML Engineer | Contract | Financial Services

OverviewWe 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, 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.ResponsibilitiesDesign and develop scalable AI/ML solutions across domains such as Generative AI, NLP, recommendation systems, and time series forecastingBuild end-to-end machine learning pipelines, from data collection and feature engineering to model development, validation, and production deploymentResearch and apply state-of-the-art AI techniques to enhance existing solutions and solve emerging business problemsDefine and implement deployment strategies for production-grade AI systems on cloud platformsDrive technical design and architecture discussions, ensuring scalability, reliability, and performanceMaintain high standards of code quality, testing, and CI/CD integrationCollaborate closely with product, engineering, and business teams to translate requirements into technical solutionsMentor junior team members and contribute to knowledge sharing within the teamRequirementsMaster’s or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative fieldMinimum 3 years of hands-on experience building and deploying AI/ML solutions at scaleExpertise in at least one or more areas: Generative AI, NLP, Deep Learning, Reinforcement Learning, Recommendation Systems, or Time Series ForecastingProficiency in programming language such as Python, Java, Scala, or JuliaExperience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost)Experience with ML lifecycle tools and platforms, such as Airflow, Kubeflow, MLflow, or similarFamiliarity 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 controlExperience working in Agile environments with cross-functional teamsGood analytical thinking, problem-solving skills, and ability to translate business needs into technical solutionsExcellent communication and stakeholder management skillsNice-to-HaveExperience with cloud platforms such as AWS or GCPExposure to feature stores (e.g., Feast, Hopsworks) and model formats (e.g., ONNX, PMML)Research background with publications or patents in AI/ML-related fieldsInterested candidates may send in their resume and cover letter directly to [email protected] (R1434374), stating the position as the subject title in the email.Jireli Gem Mejia Cabria | EA License No. 02C3423 | Personnel Registration No. R1434374Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy