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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Software Developer (AI/Machine Learning Specialist)
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Software Developer (AI/Machine Learning Specialist)

Go Net Zero Pte. Ltd.

Who we are: In November 2022, GoNetZero™ was officially launched at COP27 in Egypt. We are a global decarbonisation solution provider, headquartered in Singapore. We support customers on their end-to-end decarbonisation journey, from helping them acquire RECs, carbon credits, and using blockchain technology and data driven insights to assist in energy asset management. GoNetZero is backed by Singapore Stock Exchange-listed Sembcorp Industries and is the carbon management business of Sembcorp Industries.

Who we are looking for: GoNetZero™ caters to businesses of all sizes and across various industries. Our solutions are scalable and adaptable to meet the unique needs and challenges of each customer. As a high-growth business looking to expand internationally, we are looking for candidates who are entrepreneurial: self-driven, self-starters, and interested in creating a lasting impact in the climate technology space. As a rapidly scaling business, we thrive on adaptability and change, so if you are looking to join a fast-paced, exciting new business, join us!

We are seeking a talented AI/Machine Learning Specialist to join our dynamic team. As an AI/Machine Learning Specialist, you will be responsible for developing, implementing, and deploying AI and machine learning solutions that solve complex business problems. You will collaborate with cross-functional teams to identify opportunities and develop strategies aligned with business goals. This role requires a deep understanding of machine learning algorithms, programming skills, and the ability to evaluate and improve models continuously.

Responsibilities:

  • - Fine-tuning generative AI models
  • - Designing AI Agents
  • - Experimenting with new techniques for recommender systems
  • - Building and maintaining inference pipelines
  • - Managing deployment and model versioning pipelines
  • - Building tooling to continuously validate models in production
  • - Analyze large, complex datasets to extract insights and identify trends.
  • - Evaluate model performance and optimize models for scalability and efficiency.
  • - Stay current with the latest advancements in AI and machine learning.
  • - Communicate findings and results to stakeholders in a clear and concise manner.
  • - Work closely with software developers to integrate models into production systems.

Requirements:

  • - Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s or Ph.D. preferred.
  • - Proven experience (5-7 years) as an AI/Machine Learning Specialist or similar role.
  • - Experience working with transformer models, text embeddings and deploying and managing ML models in a production setting
  • - Familiarity with common NLP libraries: PyTorch, HuggingFace Transformers, SpaCy, etc.
  • - Bonus: familiarity with common ML Ops tooling/platforms (i.e.) Weights and Biases, MLflow, Anyscale, Sagemaker, etc.
  • - Bonus: familiarity with cloud ecosystem (Azure or AWS or GCP).
  • - Bonus: past projects building agentic language chains
  • - Ability to work independently and as part of a team in a fast-paced environment.
  • - Excellent problem-solving skills and strong attention to detail.
  • - Effective communication skills with the ability to explain complex concepts to non-technical stakeholders.

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

  • Institution-first Mindset - Put the interest of the Group ahead of individual interests.
  • Collaboration - Deliver through collaborating across markets, businesses and functions.
  • Accountability - Hold team and self accountable to deliver on our commitments.

Working Location: 30 Hill Street Singapore 179360

This is a 100% in-office position. The successful candidate must be available to work from our corporate office during regular business hour

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