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AI Engineer- Artificial Intelligence - Job Opportunity at WSH Experts Pte Ltd

Singapore, SG
Full-time
Senior
Posted: April 22, 2025
On-site
SGD 7,000 - 10,000 per month

Benefits

Competitive salary positioning in top 75th percentile for Singapore AI engineering roles
Professional development opportunities in cutting-edge AI technologies
Experience with enterprise-scale AI infrastructure projects

Key Responsibilities

Lead and architect enterprise AI platform development with focus on scalability and production readiness
Design and implement robust data pipelines supporting large-scale ML operations
Drive MLOps practices and infrastructure optimization across multiple business units
Establish technical standards and best practices for AI service deployment
Enable cross-functional AI adoption through API development and system integration

Requirements

Education

Bachelor Degree

Experience

5 years

Required Skills

Python programming Linux Systems Software engineering Data engineering AI infrastructure Azure cloud platform Docker Kubernetes RESTful APIs MLOps (MLflow, FastAPI) Communication skills Kafka Spark TensorFlow PyTorch CI/CD Terraform Jenkins
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Sauge AI Market Intelligence

Industry Trends

The Singapore AI sector is experiencing rapid growth with government initiatives like AI Singapore driving increased demand for infrastructure specialists. Enterprise-scale AI deployment is becoming a critical focus, shifting from experimental projects to production-ready systems. MLOps practices are becoming standardized, with increasing emphasis on scalable and maintainable AI infrastructure.

Salary Evaluation

The offered salary range of SGD 7,000-10,000 monthly (SGD 84,000-120,000 annually) aligns with market rates for senior AI engineers in Singapore, reflecting the high demand for AI infrastructure expertise.

Role Significance

Typically leads a team of 3-5 engineers while collaborating with data scientists and business stakeholders across multiple departments.
Senior technical position with significant architectural and strategic responsibilities, indicating a leadership role in technical decision-making.

Key Projects

Enterprise AI platform development and scaling MLOps infrastructure implementation Cross-functional AI service integration Data pipeline architecture and optimization

Success Factors

Deep understanding of both software engineering principles and ML operations Ability to bridge technical and business requirements Strong system architecture and scalability planning skills Excellence in cross-functional collaboration and technical leadership

Market Demand

Very high demand, with particularly strong growth in financial services and government sectors in Singapore. This role type has seen a 40% increase in job postings over the past year.

Important Skills

Critical Skills

Python and ML frameworks - Essential for implementing and optimizing AI solutions MLOps tools and practices - Critical for production deployment and maintenance Cloud platforms (Azure) - Fundamental to modern AI infrastructure System integration capabilities - Key for enterprise-wide AI adoption

Beneficial Skills

Big data processing tools (Kafka, Spark) - Important for handling large-scale data operations Infrastructure-as-code - Valuable for maintaining scalable systems Security expertise - Increasingly important for AI system deployment UI/UX understanding - Helpful for creating accessible AI interfaces

Unique Aspects

Focus on production-ready AI infrastructure indicates mature AI adoption strategy
Emphasis on accessibility and usability of AI services suggests client-facing or internal service provider role
Strong focus on MLOps indicates modern approach to AI deployment

Career Growth

2-3 years in role typical before advancement, with potential fast-track to technical leadership in 18 months based on performance

Potential Next Roles

AI Architecture Lead Technical Director of AI Head of ML Engineering Chief AI Officer

Company Overview

WSH Experts Pte Ltd

WSH Experts Pte Ltd appears to be a technology consultancy or solutions provider in Singapore, focusing on enterprise AI implementations.

Mid-sized player in the Singapore tech consulting space, competing with larger multinational consulting firms.
Primary operations in Singapore with potential regional projects across Southeast Asia.
Project-based environment with emphasis on technical excellence and client interaction, typical of consulting firms in Singapore's tech sector.
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