AI Engineer

DIDI MOBILITY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DIDI MOBILITY PTE. LTD. is seeking an AI Engineer to help build and scale AI systems that power our products and platforms in Singapore.

You will deliver end-to-end AI solutions from experimentation through deployment and monitoring, combining classical ML, deep learning, and generative AI. You will design, train, evaluate, and deploy AI models at scale, optimizing pipelines and infrastructure while ensuring reliability and responsible AI practices.

Qualifications

• Proficiency in Python and C++ with solid CS fundamentals.
• Experience building and deploying ML/AI systems.
• Strong collaboration and communication across teams.

Responsibilities

• Design, build, and deploy AI-driven solutions including LLMs and generative AI.
• Develop and optimise large-scale AI models from prototype to production.
• Establish robust evaluation, testing, and monitoring for AI systems.
• Own the architectural design of AI components and trade-offs.
• Collaborate with product managers, data scientists, and engineers to translate research into features.
• Follow ML development best practices: data versioning, training, evaluation, monitoring, responsible AI.

Skills

Python programming

C++ programming

collaboration

communication

software engineering

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

About the Role

We are seeking a talented AI Engineer to join our team and help build and scale the artificial intelligence systems that power our products and platforms. In this role, you'll work at the intersection of applied AI research and production engineering, translating cutting-edge techniques into reliable, high-impact systems that deliver real-world value. You will be responsible for delivering end-to-end AI solutions from experimentation through deployment and monitoring that solve business-critical problems using a mix of classical ML, deep learning, and generative AI.

What You'll Do

Design, build, and deploy AI-driven solutions - spanning large language models, generative AI, recommendation systems, and intelligent automation that directly shape user and business-facing products

Develop and optimise large-scale AI models from prototype through production deployment, including model training pipelines, inference infrastructure, and feature engineering frameworks

Establish and maintain robust evaluation frameworks, automated testing, and monitoring pipelines to ensure reliability and quality of AI systems in production

Own the technical design of AI components and systems, evaluating architectural trade-offs to meet well-defined product and business requirements

Collaborate with product managers, data scientists, and engineering teams to translate AI research advances into production-ready features with measurable user impact

Adopt best practices in ML development lifecycle - data versioning, model training, evaluation, monitoring, and responsible AI

Instrument AI systems with telemetry, design experiments to validate model hypotheses, and make data-informed decisions

What You'll Need

Bachelor's Degree or above in Computer Science, AI, or a related field, with 3+ years of experience building and deploying ML/AI systems

Strong proficiency in Python and C++; solid grasp of algorithms, data structures, and software engineering principles

Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and end-to-end ML pipelines (data processing, training, evaluation, serving)

Proven ability to translate business requirements into technical solutions and deliver impactful projects

Excellent collaboration and communication skills to work effectively with cross-functional teams