AI Engineer / Machine Learning Engineer (LLM & Applied ML)
COGNOTIV PTE. LTD.
7 days ago
Posted date7 days ago
N/A
Minimum levelN/A
EngineeringJob category
EngineeringKey Responsibilities
Skills & Experience
Qualifications
- 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.
Skills & Experience
- 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.
Qualifications
- 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.
JOB SUMMARY
AI Engineer / Machine Learning Engineer (LLM & Applied ML)
COGNOTIV PTE. LTD.
Singapore
7 days ago
N/A
Full-time
AI Engineer / Machine Learning Engineer (LLM & Applied ML)