Machine Learning Engineer
Prospera is collaborating with the Coordinating Ministry of Economic Affairs (CMEA) and the Kartu Prakerja Project Management Office (PMO) to strengthen the beneficiary-to-training match of the Kartu Prakerja program. The objective is to design and build a course recommender system to assist Kartu Prakerja beneficiaries optimise their selection. The system will be in the form of a personalised user dashboard attached to the main Prakerja website. Behind the dashboard will be a machine learning algorithm and psychometric test to recommend appropriate courses for users.
The role of the Machine Learning Engineer is to help build Prakerja’s Recommendation system using the state-of-the art collaborative filtering approach. Kartu Prakerja relies on machine learning to help its users to find more suitable training titles. Currently, the Prakerja uses content-based filtering. As the Machine Learning Engineer, you will help create end-to-end machine learning pipelines, specifically in utilizing collaborative filtering, that starts with data, followed by model development, deployment to staging and production server, and create efficient monitoring and regular model refits and improve performance. The consultant will help to ensure that the collaborative endpoint is scalable, reliable, and meet the needs of the Prakerja operations team.
Please click here to access the Terms of Reference detailing responsibilities and selection criteria:
About you (Selection Criteria)
The candidate will possess strong qualifications and experience as follows:
- Degree in Business Informatics, Computer Science, Statistics/Mathematics, or related disciplines.
- At least five years’ experience in technology sector and/or as a data scientist/analyst, with significant technical knowledge in data analytics and proven track record in producing a high-quality business data intelligent.
- Strong experience in IT development, data analytics and product innovation.
- Experience with project development and execution, under tight deadlines with multiple stakeholders.
- Proven effective working relationships with technology providers.
- Excellent verbal communications skills in Bahasa Indonesia and English. Strong writing skills are desirable.
- High proficiency in implementing Machine Learning model in Python.
About the program
Prospera is a partnership facility between the Government of Australia (through Department of Foreign Affairs and Trade) and the Government of Indonesia. It aims to foster strong, sustainable, and inclusive economic growth in Indonesia. Commencing from 1 March 2018, Prospera is a planned five-year investment.
The remuneration will be set according to National Remuneration Framework Group C, Job Level 2, for Indonesia national. The remuneration level at which the Machine Learning Engineer is engaged will be based on the successful candidate’s relevant skills and experience. The role is based in Jakarta- Indonesia.
How to apply
We welcome your interest in joining the Prospera team. Apply by sending your resume and covering letter (which will include a response to the selection criteria, max 3 pages for cover letter), with the reference Machine Learning Engineer. Application must be received by 5pm (Jakarta time) on Friday, 31 Dec 2021. Applications not containing a response to the selection criteria may not be considered.
Cardno provides equal employment opportunities. We welcome and encourage applications from people of all backgrounds and abilities.
Cardno is committed to Safety and the Prevention of Sexual Abuse, Exploitation and Harassment (PSEAH), Child Protection, Fraud and Bribery prevention. We want to engage with the right people to deliver our client programs. As part of our approach, you will be subjected to formal background screening, criminal record checks, employment verification, and periodic compliance checks. All Cardno staff receive safety, compliance and safeguards training and are responsible for contributing to a safer working culture.
We are a global provider of integrated professional services which enrich the physical and social environment for the communities in which we live and work. Our team of multidisciplinary specialists has more than 70 years’ experience in designing, developing, and delivering sustainable projects and community advancement programs.
Cardno ID (International Development) has extensive experience managing a number of donor-funded programs in the Asia Pacific region. We engage in international development as a holistic, multidisciplinary, and integrated process. Strengthened by our geographic and market diversity, we are committed to providing innovative and integrated solutions that create opportunities for significant, lasting change in emerging economies. Collaborating with multilateral and bilateral donors, private clients, governments, and communities to develop sustainable solutions to complex challenges, we work with local counterparts to achieve meaningful impact.
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