POSITION TITLE: Assistant Technical Officer-Machine Learning
REPORTS TO: Technical Advisor-Machine Learning
LOCATION: Akwa-Ibom State (Uyo, Ikot Ekpene & Eket LGAs )
PROJECT SUMMARY
Family Health International (FHI 360) with funding from USAID/Development Innovation Ventures (DIV) is implementing the Machine Learning Project to evaluate the impact of machine learning and person-centered interventions in reducing treatment interruption (IIT) and improving overall health outcomes among PLHIV newly initiated on ART in Akwa Ibom and Cross River states.
Antiretroviral therapy (ART) for HIV treatment has transformed HIV from a fatal illness to a lifelong chronic disease. While long term adherence to ART leads to decreased morbidity and mortality and reduces the risk of viral transmission, these benefits can only be achieved if patients remain on treatment. Available data shows that Persons Living with HIV(PLHIV) face many barriers to accessing and remaining in care and treatment which has led to a substantial proportion of patients either totally interrupting or cycle in and out of treatment.
The ML project therefore aims to bridge this evidence gap by generating evidence on the impact of ML-informed person-centered care intervention on reducing interruption in treatment (IIT), integrate ML into existing data management system (LAMISPlus), and provide intervention to clients identified at high risk of interrupting treatment.
Duties and responsibilities:
Knowledge, Skills & Attributes:
Qualifications and Requirements:
Typical Physical Demand
Safeguarding:
FHI 360 is committed to provide a safe environment for all employees, beneficiaries and anyone contracted by FHI 360. This Includes taking measures to protecting vulnerable people from Sexual Exploitation and Abuse (SEA) by either FHI 360 employees or associated personnel. FHI 360 abides by child safeguarding principles. FHI 360’s Safeguarding Policies apply and flow out to all FHI 360 staff, board members, volunteers, and partner staff (subcontractors, consultants, vendors, and sub-recipients), regardless of the funding mechanism or amount of contract, agreement, or purchase order.
This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.
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Level of Education: Bachelor Degree
Work Hours: 8
Experience in Months: No requirements