Data Engineer (AI/ML) Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 180,000 - 250,000; Full time

Job summary

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD is seeking an AI/ML Specialist to design and implement advanced AI solutions addressing complex business challenges. You will collaborate across teams, leveraging machine learning, deep learning and emerging AI technologies to enhance products and drive innovation in customer experiences.

The role covers Generative AI, NLP, image/speech recognition, and time series forecasting, with responsibility for end-to-end lifecycle, cloud deployment,

Qualifications

• Advanced degree in quantitative discipline (CS/Engineering/Math).
• Proven research ability; publications/patents a plus.
• Extensive experience building and deploying AI/ML solutions at scale.
• Expertise in Generative AI, DL, NLP, RL, recommender systems or time series.
• Hands-on with Airflow, Kubeflow, Docker, Kubernetes, MLflow, TF, PyTorch, Scikit-learn.
• Strong Python/Java/Scala/Julia skills; modern IDE proficiency.
• Solid agile background; leadership in projects.
• Excellent communication and cross-team collaboration.
• GCP/AWS cloud experience is a plus.

Responsibilities

• Apply AI/ML expertise to build scalable solutions across Generative AI, personalization, image/speech recognition, NLP, recommendations, and time series.
• Lead the full lifecycle from problem identification to deployment of production-grade systems.
• Research and experiment with emerging ideas to solve business problems.
• Define deployment strategies for AI in cloud infrastructure at scale.
• Drive technical design reviews and CI/CD integration.
• Mentor junior team members and promote technical excellence.
• Contribute to business and technical forums influencing strategy.

Skills

AI/ML expertise

Python

Deep Learning

NLP

Cloud platforms

CI/CD

Leadership

Communication

Education

Advanced degree in CS/Engineering/Statistics

Tools

Airflow

Kubeflow

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

Scikit-learn

Feature stores

Job description

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.

Thankyou for your interest!

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