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Sembcorp Industries Ltd, a leading provider of energy solutions, is seeking a skilled professional to innovate in machine learning and software development. The role requires bridging ML model development with real-world applications, producing high-quality code, and collaborating with various stakeholders. Candidates should hold a degree in Computer Science or related fields and possess practical experience in machine learning and software engineering.
About Sembcorp
Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.
Key Roles & Responsibilities
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.
Optimise and Scale:Leverage on existing latest ML frameworks and AI models, to create optimized, maintainable and scalable code that can be deployed as/or into a product.
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
Qualifications, Skills & Experience
Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
3+ years of non-internship professional software development experience.
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.
Applied MachineLearning (ML) Skills:
o Proficiency in frameworks like PyTorch or Tensorflow
o Strong foundation in data structures, algorithms, and software engineering principles.
o Experience with LLMs and emerging area of prompt-engineering.
o Experience deploying ML workloads on Microsoft Azure, Huawei or similar cloud platforms.
o Good to have experience with agents framework such as Langchain, vector DBs.
o Familiarity with Azure ML, MLflow, or similar MLOps platforms.
Software Engineering+ Cloud Skills:
o Proficiency in Python; experience with NodeJS is a strong plus.
o Familiarity with frontend integration workflows (Angular/React, REST APIs). Frontend coding experience with
Angular/React Framework is a plus.
o Understanding of containerization and orchestration (Docker, Kubernetes/AKS).
Soft Skills:
o Demonstrated experience in requirement analysis, can transform business problems into ML solutions very
well, can communicate with bothtechnical and non-technical stakeholders clearly
o Strong communication skills with an ability to explain concepts in simple terms to technical and non-technical
audiences
Our Culture at Sembcorp
At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition.
We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.
Join us in making a real impact!