AI Lead (Machine Learning & Data Science) | 120K Annual
- Facilitate, implement and administer module delivery, related activities (including student assessments and assignments) to meet learning outcomes, in assigned subject areas, according to RP's pedagogical practices.
- Planning, designing and developing module curriculum, learning activities and materials (including ICT-enabled learning) that are applied, aligned with course learning outcomes and responsive to the needs of the industry
- Create opportunities in the module and/or student activities to facilitate the holistic development of students
- Implement a range of appropriate teaching & learning strategies to facilitate effective active learning.
- Implement a range of interventions to address the diverse learning needs of students in class.
- Stay current and responsive to changing developments in the profession and educational landscape through active engagement with industry and professional bodies/communities (in both domain-specific and teaching and learning)
- Maintain links with industry to stay current and to promote collaborations
- Propose, develop and participate in assigned outreach/community/industry activities.
- You will get the opportunity to work closely with other staff in developing business solutions through data pipelines.
- At the same time, you can participate in action research and professional learning communities to enhance teaching practice.
Skills:
· Relevant qualifications preferably in the field of Data Science, Data Engineering, Machine Learning, Statistics.
· You should have a minimum of 3 years industry experience, preferably in a related field.
· Teaching experience will be an added advantage.
- Experienced in developing and applying data science and machine learning solutions to real-world problems.
- Experienced in distributed processing, database modeling, data pipelines, API design, optimization, modelling, big data, model implementation, data visualization
- Experienced working with cloud computing services (e.g. AWS, GCP, Azure)
- Experienced in data processing tools such as Spark, Beam, Flink; and with Hadoop Ecosystem such as ZooKeeper, YARN.
- Certification/Knowledge of data analytics tools like Microsoft Azure, IBM Watson, SAS, RapidMiner, KNIME, etc.
Interested candidates, please send your CVs on [email protected]
Regret to inform that only shortlisted candidates will be notified.
CEI: R1988671
EA License: 14C7275
