Staff 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.Responsibilities
- You will:
- Set and uphold standards of code and documentation quality within the team
- Drive the development and advancement of technical skills for junior team members
- Mentor junior team members on best practices in engineering and system design
- Collaborate with cross-functional teams to identify high-impact opportunities for applying machine learning and data analytics to solve key business issues
- Engineer, deploy, optimise, and maintain ML solutions that contribute to the organisation's strategic objectives
- 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
- Experience with using Python-based machine learning libraries (e.g ., scikit-learn, transformers, spacy, etc.) in a production environment
- Experience with using Python-based API frameworks (e.g ., fastapi) in a production environment
- Experience with using containerisation and container orchestration platforms (e.g ., Docker, Kubernetes) in a production environment
- Deep understanding of a particular domain and working knowledge of a broader range of ML concepts and techniques, e.g., in:
- Natural language processing or computational linguistics
- Speech processing
- Computer vision
- Information retrieval
- Data augmentation
- Anomaly and drift detection
- Strong written and verbal communication skills
Nice-to-haves
- Experience in leading and managing technical teams
- A Master's degree or PhD in a relevant field and/or 5 or more years of relevant work experience
- Prior work in multiple data science/ML domains
- Familiarity with other general purpose programming languages (e.g ., Java, JavaScript, C/C++, etc.)
- Experience in working with big data technologies such as Hadoop, Spark and 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 Data Analytics Docker Engineering FastAPI Hadoop Java JavaScript Kafka Kubernetes Linguistics Machine Learning Mathematics NLP PhD Python Scikit-learn Security spaCy Spark Statistics Transformers
Perks/benefits: Career development
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