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- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
- Strong hands-on experience in Python development.
- Practical knowledge of AI frameworks and tools, including (e.g., RAG, prompt engineering, fine-tuning, LangChain, Hugging Face Transformers, TensorFlow, or PyTorch).
- 2+ years of experience as a Software Engineer with a demonstrable focus on AI/ML projects.
- Familiarity with CI/CD pipelines and MLOps principles, with specific understanding of how they apply to LLMs.
- Familiarity with cloud-native services on AWS, such as Lambda, Bedrock, Step Functions, OpenSearch, SageMaker, and others, for building and deploying AI solutions.
- Relevant AWS certifications, such as AWS Certified Machine Learning - Specialty, AWS Certified Data Engineer - Associate, or similar credentials in AI/ML.
- Familiarity with DevOps practices.
- Innovation-driven mindset in learning AI technologies.
- Familiarity with big data technologies (e.g., Spark, Hadoop), especially in the context of processing large text datasets for LLM training or application.
Key Skills
Ranked by relevance
aws
ai
machine learning
tensorflow
big data
python
devops
hadoop
cloud
spark
mlops
cicd
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- Posted
- Jul 17, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Trinity Consulting Services
Industries
Advertising Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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