Contract role in Singapore focused on designing and deploying production-grade AI/ML solutions — spanning Generative AI, NLP, recommendation systems, and forecasting — on cloud infrastructure. Day to day involves the full ML lifecycle: data collection, modeling, validation, MLOps with tools like Airflow, Kubeflow, Docker and Kubernetes, CI/CD integration, and mentoring junior engineers.
Role Overview
The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will leverage expertise in machine learning, deep learning, and emerging AI technologies to enhance product offerings, optimize operations, and drive innovation across customer experiences.
Key Responsibilities
Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
Lead the full solution lifecycle: problem identification, data collection, analysis, modeling, validation, and deployment of production-grade systems.
Research and experiment with emerging academic ideas to solve new business problems and improve existing solutions.
Define and implement deployment strategies for AI solutions in cloud infrastructure at scale.
Drive technical design reviews, ensuring high-quality, maintainable code and integration with CI/CD pipelines.
Provide mentorship to junior team members and foster technical excellence across the team.
Actively contribute to business and technical forums, influencing strategy and innovation.
Qualifications
Advanced degree in Computer Science, Engineering, Statistics, Mathematics, or related quantitative discipline
Proven track record of impactful research, with publications or patents a plus.
Extensive experience building and deploying sophisticated AI/ML solutions at scale.
Expertise in one or more fields: Generative AI, Deep Learning, NLP, Reinforcement Learning, Recommendation Systems, Bayesian Inference, or advanced time series forecasting.
Hands-on experience with open-source tools and frameworks, including Airflow, Kubeflow, Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Scikit-learn, and feature stores.
Good programming skills in Python, Java, Scala, or Julia, with proficiency in modern IDEs and ML libraries.
Solid understanding of agile methodologies, with experience leading projects in dynamic environments.
Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.
Experience with cloud platforms (GCP, AWS) is a plus.
Interested candidates may send in their resume and cover letter directly to (HIDDEN TEXT)
Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109