Machine Learning Engineer at Tiko

The Job

• As a Machine Learning Engineer, you'll design and develop Machine Learning algorithms that help us predict and detect significant data patterns into the Tiko Platform.

This is a temporary contract of 12 months, during which you'll have the following exciting responsibilities:

• You'll 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.
• Our team works in an agile way, and you'll be part of the rituals and practices.
• You'll document your work and ensure that your documentation is clear and understandable for future use by others.
• You'll make sure the software you develop is secure and safe with regards to information security and personal data.
• We expect you to actively participate in meetings and projects and coordinate with your team members. We also expect you to continue to develop yourself and keep abreast of new developments.
• You'll run, get involved with, and help out colleagues on other projects as needed.

About You

• You are passionate about Machine Learning and want to work with a dynamic team of professionals. You take a proactive approach to problem-solving and have a logical way of thinking. 

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)