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- Have degree or master’s degree in the field of AI / ML and data science with proven ability to design and develop models
- 8+ years of experience in software development, data science, and ML, with at least 3+ years in AI engineering roles.
- Proven experience in the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
- Strong programming skills in Python with Solid knowledge of AI/ML, including LLMs and data science libraries like pandas, scikit-learn, TensorFlow/PyTorch, etc.
- Experience with LLM orchestration frameworks like Langchain, LangGraph, vLLM, LMDeploy.
- Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
- Experience with MLOps tools: MLflow, Airflow, Kubeflow, or similar.
- Familiarity with either of cloud platforms (GCP, AWS) for AI Solutioning and ML deployment.
- Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
- Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
Key Skills
Ranked by relevance
ai
containerization
kubeflow
python
docker
pandas
mlflow
nosql
cloud
mlops
cicd
aws
gcp
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- Posted
- Dec 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
Industries
IT Services
IT Consulting
Categories
Information Technology
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