Data Engineer (AI/ML) Contract

Manpower Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Manpower Singapore invites an AI/ML Specialist to design and implement advanced AI solutions addressing complex business challenges. You will collaborate with cross-functional teams to leverage ML, deep learning, and emerging AI technologies to enhance products, optimize operations, and drive innovation across customer experiences.

Responsibilities include deploying AI solutions at scale in cloud environments, mentoring junior team members, and contributing to strategic forums.

Qualifications

• Advanced degree in computer science, engineering, statistics or related field.
• Proven track record with impactful AI/ML research or deployments.
• Extensive experience building and deploying AI/ML solutions at scale.
• Experience with cloud platforms (GCP/AWS) is a plus.

Responsibilities

• Apply AI/ML expertise to build scalable solutions across Generative AI, NLP, and time series.
• Lead full solution lifecycle from data collection to production deployment.
• Mentor juniors and drive technical excellence within the team.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
• Define deployment strategies for AI in cloud infrastructure at scale.

Skills

AI/ML expertise

Python

Java/Scala

Cloud platforms (GCP/AWS)

Education

Advanced degree in CS/Engineering/Stats

Tools

Airflow

Kubeflow

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

Scikit-learn

Feature stores

Job description

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.
  

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