Data Scientist - AI & ML
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Company Overview
Headquartered in Singapore with offices in USA, Malaysia and India, we partner with multinational companies to deliver advanced technology and business process outsourcing solutions. We focus on customer needs to drive long-term growth and exceed client expectations.
Job Summary
Lead and manage the full lifecycle of Machine Learning and AI projects, delivering data-driven solutions that optimize business performance and operational efficiency.
Responsibilities
Lead end-to-end Machine Learning and AI project lifecycles, including problem definition, data exploration, feature engineering, model training, validation, deployment, and performance monitoring
Develop and implement ML, AI, or optimization models to solve business challenges such as performance improvement, demand forecasting, resource optimization, reliability enhancement, and customer experience
Collaborate with data and software engineers to deploy ML/AI models in both air-gapped and cloud production environments
Drive experimentation and continuous learning using AI techniques including time-series forecasting, anomaly detection, Computer Vision, and Natural Language Processing
Present actionable, data-driven insights and recommendations to business users to inform decision-making
Partner with Business Analysts to identify and assess high-impact AI use cases for feasibility and value
Manage AI projects and maintain AI infrastructure to ensure operational stability and scalability
Preferred Competencies And Qualifications
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Statistics, Data Analytics, Applied Mathematics, or a related field
At least 8 years of relevant data science experience, including 2 or more years in a lead or senior technical role
Proficiency in Python, Nifi, Airflow, SQL, and libraries such as pandas, numpy, scikit-learn, TensorFlow, PyTorch
Experience with MLOps tools such as Databricks, Snowflake, and AWS Sagemaker
Proficiency in data visualization tools including Power BI, Qlik, and Tableau