Collaborate: Work closely with business stakeholders, software and data engineers, product leads/managers to understand complex business challenges and deliver AI-powered solutions
Quality code production: Write high-quality, well-tested code following best practices and coding standards
Requirements
python
docker
kubernetes
azure
pytorch
mlflow
Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
Understanding of containerization and orchestration (Docker, Kubernetes/AKS).
3+ years of non-internship professional software development experience.
Strong foundation in data structures, algorithms, and software engineering principles.
Good to have experience with agents framework such as Langchain, vector DBs.
Innovate and Deploy: Bridge the gap between machine learning (ML) / AI model development and real-world software applications, possessing both ML expertise and full-stack development skills, to work from ideation all the way to deployment.
Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision.
Strong communication skills with an ability to explain concepts in simple terms to technical and non-technical audiences
Experience deploying ML workloads on Microsoft Azure, Huawei or similar cloud platforms.
Experience with LLMs and emerging area of prompt-engineering.
Proficiency in frameworks like PyTorch or Tensorflow
Familiarity with Azure ML, MLflow, or similar MLOps platforms.
Demonstrated experience in requirement analysis, can transform business problems into ML solutions very well, can communicate with both technical and non-technical stakeholders clearly
Familiarity with frontend integration workflows (Angular/React, REST APIs). Frontend coding experience with Angular/React Framework is a plus.
Proficiency in Python; experience with NodeJS is a strong plus.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
21 GW
Energy Capacity
Controls significant global energy capacity across multiple regions including Asia, UK, and Middle East.
14 GW
Renewables Capacity
Holds a substantial portion of renewable energy capacity contributing to global sustainability efforts.
5.2B
Revenue
Achieves impressive revenue figures, showcasing strong performance in gas and renewable sectors.
14,000 Ha
Urban Projects
Develops extensive urban projects covering a large area, driving infrastructure and community growth.
Founded in 1998 via merger, Sembcorp grew from Singapore-based utilities firm into global energy & urban developer.
Its core work spans gas generation, solar & wind farms, energy storage systems.
Unusual fact: Asia’s first automated materials-recovery recycling facility operator and pioneer importer of natural gas.
It trades decarbonisation assets such as green hydrogen, carbon credits and invests in CCUS solutions.
Culture + Values
Integrity and Accountability
Innovation and Excellence
Sustainability and Stewardship
Collaboration and Teamwork
Customer-Centricity
Environment + Sustainability
20% by 2025
Carbon Emissions Reduction
The company aims to reduce its carbon emissions by 20% by the year 2025, a significant step toward achieving its long-term sustainability goals.
6.4 GW Globally
Renewable Energy Capacity
Over 6.4 gigawatts of renewable energy capacity is being developed worldwide, showcasing the company's substantial commitment to clean energy infrastructure.
SGD 3 billion
Investment in Sustainability
A total of SGD 3 billion has been invested in renewable energy and sustainable infrastructure projects, underscoring the company's financial dedication to environmental initiatives.
Committed to renewable energy, with a focus on solar and wind
Carbon-neutral operations in Singapore since 2017
Net zero target by 2050
Inclusion & Diversity
30%
Women in Leadership Target
Committed to achieving 30% female representation in leadership positions by 2025.
55%
Global Workforce Makeup
Significantly more than half of the global workforce comprises women, reflecting strong diversity.
Implemented leadership development programs focused on women
Regular pay equity audits to ensure fairness across gender