Job Description

Work with internal and external stakeholders including customers, partners and colleagues to solicit requirements, design, develop, test and maintain Machine Learning systems.
Responsible for documentation of system specifications.
Conduct technical exploration of new Machine Leaning tools, techniques and platforms.
Assist to maintain Machine Learning/AI knowledge repository.
Support pre-sales initiatives, proposal development and provide post-sales support for Machine Learning systems.

Job Requirements

Degree, Master’s Degree or PhD in Computer Science/Engineering, Knowledge Engineering, Information Systems, Information Technology, Mathematics or equivalent with working experience in development of Machine Learning systems.
Recognized professional or industrial certifications in relevant Machine Learning technologies or competencies.
At least 3-5 years of professional experiences in design and development of Machine Learning systems.
In-depth technical knowledge in at least two of the below areas:
- Data Modelling
- Data Mining
- Statistical Analysis
- Simulation
- Operations Research
- Data Visualisation
- Predictive Analytics
Technical expertise in Python, R, SQL, Java, C/C++, MATLAB, Scala etc.
Knowledge of big data technologies e.g. Hadoop, Spark, Hive, HBase etc. will be an added advantage.
Knowledge of cloud computing platforms e.g. AWS, Google Cloud Platform, Microsoft Azure will be an added advantage.
Experience in agile development methodologies.
Knowledge of MLOps best practices in model development and deployment, CI/CD, version control etc.
Excellent written and verbal communications skills.
Highly organized, motivated, independent and resourceful team player.
Strong analytical thinking, interpersonal and problem-solving skills.
Able to work productively in an agile and fast-paced consulting environment.