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RAPSYS TECHNOLOGIES PTE LTD
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Software Engineer with Artificial Intelligence (AI)
Singapore
· Full-time
·
Entry
Role:Software Engineer with Artificial Intelligence (AI)
Location:Kallang
Jd
Qualifications:
Location:Kallang
Jd
Qualifications:
- Bachelor's in Computer Science, Software Engineering, or a related technical field.
- 3+ years of experience as a Software Engineer with a demonstrable focus on AI/ML projects.
- Strong proficiency in Python and experience with relevant AI/ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
- Experience in deploying and scaling machine learning models, including Large Language Models, in a production environment.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services, including services relevant to LLM deployment (e.g., managed inference endpoints).
- Hands-on experience with containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and MLOps principles, with specific understanding of how they apply to LLMs.
- Experience with API development and integration, including building APIs for interacting with LLMs.
- Strong understanding of software development principles, data structures, and algorithms.
- Excellent problem-solving, analytical, and debugging skills, including the ability to troubleshoot issues specific to LLM behavior.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment, including discussing the nuances of LLM capabilities and limitations.
- Have experience working with Large Language Models (LLMs) and Transformer architectures (e.g., GPT, BERT, Llama, DeepSeek). This includes practical experience in prompt engineering, fine-tuning, evaluation, and deployment of LLMs.
- Experience with specific AI domains such as Natural Language Processing (NLP), Computer Vision, or Recommendation Systems, with a good exposure on how LLMs can be applied within these domains.
- Specific experience in deploying and optimizing LLMs for low-latency inference and high throughput.
- Familiarity with big data technologies (e.g., Spark, Hadoop), especially in the context of processing large text datasets for LLM training or application.
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) for tracking the performance and behavior of LLM applications.
- Contributions to open-source AI/ML or LLM-related projects.
- Experience working in an agile development environment.
Key Skills
Ranked by relevance
ai
natural language processing
artificial intelligence
containerization
machine learning
data structures
computer vision
prometheus
tensorflow
big data
grafana
pytorch
python
docker
pandas
hadoop
cloud
spark
mlops
cicd
aws
gcp
elk
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- Posted
- Apr 08, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- RAPSYS TECHNOLOGIES PTE LTD
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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