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AI Engineer / Machine Learning Engineer (LLM & Applied ML)
Singapore
· Full-time
·
Entry
Key Responsibilities
- Design and deploy machine learning models to support personalization, content recommendation, learner insights, and adaptive learning.
- Build and maintain end-to-end ML pipelines: data preprocessing, training, evaluation, and deployment.
- Implement robust MLOps practices including CI/CD pipelines, monitoring, and model lifecycle management.
- Leverage Large Language Models (e.g., GPT, Claude, LLaMA) to enhance product capabilities such as intelligent assistants, automated summarization, and contextual learning tools.
- Integrate vector databases and RAG (retrieval-augmented generation) systems for semantic search and context-aware generation.
- Collaborate with cross-functional teams to align technical implementation with educational goals.
- Ensure models are robust, ethical, explainable, and secure in a production environment.
- 3-5 years of hands-on experience developing and deploying machine learning solutions in production.
- Strong Python coding skills and proficiency with ML/NLP libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Applied experience with LLMs, generative AI, or NLP frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API).
- Experience working with vector databases (Pinecone, Weaviate, Chroma) and RAG pipelines.
- Solid understanding of ML algorithms (supervised, unsupervised, deep learning) and their practical use cases.
- Familiarity with cloud-based ML services (e.g., AWS SageMaker, GCP Vertex AI).
- Knowledge of MLOps tools (e.g., MLflow, Weights & Biases) and containerization (Docker/Kubernetes).
- Bonus: Experience with speech and language translation (ASR, S2ST), graph algorithms, or reinforcement learning.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong collaboration and communication skills.
- Passion for using AI to solve meaningful problems in education.
- Preferrably Master Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Key Skills
Ranked by relevance
machine learning
artificial intelligence
mlops
ai
containerization
deep learning
pytorch
python
mlflow
cloud
cicd
aws
gcp
asr
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- Posted
- Apr 09, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Jobscentral
Industries
Human Resources Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-17
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Data Scientist & Power BI Specialist (m/f/d)
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