Machine Learning Engineer

Yesterday

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Logo of Girls For Girls Africa Mental Health Foundation

Girls For Girls Africa Mental Health Foundation

Mental Health • SGBV • Trauma Informed Interventions for Survivors, Caregivers and Adolescents • adolescents Health • Mobile Therapy Unit

11 - 50

Description

• Design and develop Machine Learning algorithms that help us predict and detect significant data patterns into the Tiko Platform. • Develop machine learning algorithms in the applicable systems, applying the best-use principles of machine learning to the design, development, maintenance, testing, and evaluation of the software. • Document your work and ensure that your documentation is clear and understandable for future use by others. • Ensure that the software you develop is secure and safe with regards to information security and personal data. • Actively participate in meetings and projects and coordinate with your team members. • Continue to develop yourself and keep abreast of new developments. • Run, get involved with, and help out colleagues on other projects as needed.

Requirements

• 5+ years of professional experience in Information Technology • 3+ years of experience designing, developing and deploying Machine Learning models in a production environment • Strong background in mathematics and statistics • Exposure to developing NLP solutions over opensource platforms • Exposure to common machine learning, data, math, and visualization libraries • Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git) • Proficiency in Python • Understanding of relational databases such as SQL, MySQL, PostgreSQL • Familiarity with a cloud environment (AWS) and containerised environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)

Benefits

• Great secondary benefits • A personal development budget. • Unlimited holidays, if you can make it work with your team you’re good to go. • Growth opportunities. • A product to help shape as we grow, to leave your mark on how we do things. • A vision that we trust that you will do your job without us having to invent unnecessary rules and regulations.

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