Machine Learning Engineer
Singapore, Singapore
Centre for Strategic Infocomm Technologies
CSIT is a technical agency in the Ministry of Defence that harnesses cutting-edge digital technologies to meet Singapore’s security needs.RoleAs an ML engineer, you will combine your deep understanding of machine learning techniques with your keen proficiency in system design and software engineering to operationalise, scale, and monitor ML solutions that act on a variety of multi-modal data types. You will work with data scientists and software engineers to explore a diverse range of techniques and build state-of-the-art solutions to solve complex problems found nowhere else. The work you do will transform the way information is processed on an organisational scale and deliver substantive value for our mission.
Responsibilities
- You will:
- Engineer and deploy ML solutions as managed APIs or standalone libraries for downstream use
- Design data pre-processing and feature engineering pipelines for ML models
- Optimise and fine-tune ML models for performance at speed and scale
- Monitor and maintain ML models in a production environment
- Collaborate with cross-functional teams to integrate ML solutions into enterprise systems
- Write and maintain high-quality code and documentation following engineering and testing best practices
- Keep current with developments in academia and industry
Requirements (Minimum Qualifications)
- You have:
- A Bachelor's degree in an engineering or ML-adjacent quantitative field (e.g ., Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, Computational Linguistics, etc.) or equivalent practical experience
- Strong proficiency in Python, with the ability to read, write, document, and maintain code in an idiomatic way
- Familiarity with Python-based machine learning libraries (e.g ., scikit-learn, transformers, spacy, etc.)
- Familiarity with Python-based API frameworks (e.g ., fastapi)
- Working knowledge of a broad range of machine learning concepts and techniques
Nice-to-haves
- A Master's degree or PhD in a relevant field and/or 3 or more years of relevant work experience
- Prior work in one or more of the following areas:
- Natural language processing or computational linguistics
- Speech processing
- Computer vision
- Information retrieval
- Data augmentation
- Anomaly and drift detection
- Experience using and managing Linux systems and environments
- Experience with containerisation and container orchestration platforms (e.g. Docker, Kubernetes)
- Experience in working with big data technologies (e.g. Hadoop, Spark, Kafka)
#LI-DNI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Big Data Computer Science Computer Vision Docker Engineering FastAPI Feature engineering Hadoop Kafka Kubernetes Linguistics Linux Machine Learning Mathematics ML models NLP PhD Pipelines Python Scikit-learn Security spaCy Spark Statistics Testing Transformers
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